Good, bad or optimal? Performance assessment of multivariable processes. - Biao Huang 001; Sirish L. Shah; K. Ezra Kwok (Autom., 1997)

Robust reliable control for a class of uncertain nonlinear state-delayed systems. - Zidong Wang 001; Biao Huang 001; Heinz Unbehauen (Autom., 1999)

Robust Hinfinity observer design of linear state delayed systems with parametric uncertainty: the discrete-time case. - Zidong Wang 001; Biao Huang 001; Heinz Unbehauen (Autom., 1999)

Gap metric on the subgraphs of systems and the robustness problem. - Sheng Wan; Biao Huang 001 (IEEE Trans. Autom. Control., 2000)

Feedforward plus feedback controller performance assessment of MIMO systems. - Biao Huang 001; Sirish L. Shah; Randy Miller (IEEE Trans. Control. Syst. Technol., 2000)

Robust H2/H∞ filtering for linear systems with error variance constraints. - Zidong Wang 001; Biao Huang 001 (IEEE Trans. Signal Process., 2000)

LMI-based robust Hinfinity control of uncertain linear jump systems with time-delays. - Jianping Gao; Biao Huang 001; Zidong Wang 001 (Autom., 2001)

Robust reliable control for a class of uncertain nonlinear systems with time-varying multistate time delays. - Jianping Gao; Biao Huang 001; Zidong Wang 001; D. Grant Fisher (Int. J. Syst. Sci., 2001)

Detection of abrupt changes of total least squares models and application in fault detection. - Biao Huang 001 (IEEE Trans. Control. Syst. Technol., 2001)

Sampled-data filtering with error covariance assignment. - Zidong Wang 001; Biao Huang 001; Peijun Huo (IEEE Trans. Signal Process., 2001)

Robust performance assessment of feedback control systems. - Sheng Wan; Biao Huang 001 (Autom., 2002)

Covariance constrained LQ control and applications. - Xin Huang; Liqian Zhang; Biao Huang 001 (ACC, 2003)

Robust digital model predictive control for linear uncertain systems with saturations. - Li-Sheng Hu; Biao Huang 001; Yong-Yan Cao; Hui-He Shao (CDC, 2003)

H∞ model reduction of Markovian jump linear systems. - Liqian Zhang; Biao Huang 001; James Lam (Syst. Control. Lett., 2003)

LMI synthesis of H2 and mixed H2/H∞ controllers for singular systems. - Liqian Zhang; Biao Huang 001; James Lam (IEEE Trans. Circuits Syst. II Express Briefs, 2003)

Robust digital model predictive control for linear uncertain systems with saturations. - Li-Sheng Hu; Biao Huang 001; Yong-Yan Cao (IEEE Trans. Autom. Control., 2004)

Robust model predictive control of singular systems. - Liqian Zhang; Biao Huang 001 (IEEE Trans. Autom. Control., 2004)

Dynamic Modeling, Prediction and Analysis of Cytotoxicity on Microelectronic Sensors. - Biao Huang 001; James Z. Xing (FSKD (2), 2005)

Delay-dependent robust guaranteed cost control of an uncertain linear system with state and input delay. - Jianping Gao; Biao Huang 001 (Int. J. Syst. Sci., 2005)

Fixed-order Controller Design for Linear Time-invariant Descriptor Systems: a Bmi Approach. - X. Huang; Biao Huang 001 (Int. J. Syst. Sci., 2005)

A New Method for Stabilization of Networked Control Systems With Random Delays. - Liqian Zhang; Yang Shi 001; Tongwen Chen; Biao Huang 001 (IEEE Trans. Autom. Control., 2005)

Multirate Robust Digital Control for Fuzzy Systems With Periodic Lyapunov Function. - Li-Sheng Hu; Biao Huang 001 (IEEE Trans. Fuzzy Syst., 2005)

On spectral theory of cyclostationary signals in multirate systems. - Jiandong Wang; Tongwen Chen; Biao Huang 001 (IEEE Trans. Signal Process., 2005)

Nonlinear state space modeling and simulation of a SOFC fuel cell. - Yutong Qi; Biao Huang 001; Jingli Luo (ACC, 2006)

Intelligent Process Trend Recognition Fault Diagnosis and Industrial Application. - Sien Lu; Biao Huang 001 (ICIC (2), 2006)

Model Reduction of Uncertain Systems with Multiplicative Noise Based on Balancing. - Liqian Zhang; Biao Huang 001; Tongwen Chen (SIAM J. Control. Optim., 2006)

Cyclo-period estimation for discrete-time cyclo-stationary signals. - Jiandong Wang; Tongwen Chen; Biao Huang 001 (IEEE Trans. Signal Process., 2006)

Blind Hammerstein Identification for MR Damper Modeling. - Jiandong Wang; Akira Sano; Tongwen Chen; Biao Huang 001 (ACC, 2007)

Closed-loop model validation based on the two-model divergence method. - Hailei Jiang; Biao Huang 001; Sirish L. Shah (CDC, 2007)

Constrained robust model predictive control for time-delay systems with polytopic description. - Baocang Ding; Biao Huang 001 (Int. J. Control, 2007)

A blind approach to closed-loop identification of Hammerstein systems. - Jiandong Wang; Akira Sano; David S. Shook; Tongwen Chen; Biao Huang 001 (Int. J. Control, 2007)

New formulation of robust MPC by incorporating off-line approach with on-line optimization. - BaoCang Ding; Biao Huang 001 (Int. J. Syst. Sci., 2007)

Comments on "A Feedback Min-Max MPC Algorithm for LPV Systems Subject to Bounded Rates of Change of Parameters. - BaoCang Ding; Biao Huang 001 (IEEE Trans. Autom. Control., 2007)

Erratum to "Comments on 'A Feedback Min-Max MPC Algortihm for LPV Systems Subject to Bounded Rates of Change of Parameters'". - Baocang Ding; Biao Huang 001 (IEEE Trans. Autom. Control., 2007)

Multirate Minimum Variance Control Design and Control Performance Assessment: A Data-Driven Subspace Approach. - Xiaorui Wang; Biao Huang 001; Tongwen Chen (IEEE Trans. Control. Syst. Technol., 2007)

Data-driven Bayesian approach for control loop diagnosis. - Fei Qi; Biao Huang 001 (ACC, 2008)

LQG benchmarking for economic control performance. - Chao Zhao; Hongye Su; Yong Gu; Biao Huang 001 (ACC, 2008)

Robust H2 optimal filtering for continuous-time stochastic systems with polytopic parameter uncertainty. - Kwan Ho Lee; Biao Huang 001 (Autom., 2008)

Performance assessment of MIMO control systems with time-variant disturbance dynamics. - Fangwei Xu; Biao Huang 001; Edgar C. Tamayo (Comput. Chem. Eng., 2008)

Reformulation of LMI-based stabilisation conditions for non-linear systems in Takagi-Sugeno's form. - BaoCang Ding; Biao Huang 001 (Int. J. Syst. Sci., 2008)

Implementation of FIR control for H∞ output feedback stabilization of linear systems. - Kwan Ho Lee; Igor M. Boiko; Biao Huang 001 (ACC, 2009)

A control performance benchmark subject to output variance/covariance upper bound and pole placement constraint. - Chunyu Liu; Biao Huang 001; Qinglin Wang (ACC, 2009)

Assessment of control system performance with LTV disturbance dynamics: SISO case. - Chunyu Liu; Biao Huang 001; Qinglin Wang (CDC, 2009)

Identifiability and estimability study for a dynamic solid oxide fuel cell model. - Barath Ram Jayasankar; Amos Ben-Zvi; Biao Huang 001 (Comput. Chem. Eng., 2009)

Implementation of FIR control for H∞ output feedback stabilisation of linear systems. - Kwan Ho Lee; Igor M. Boiko; Biao Huang 001 (Int. J. Control, 2009)

Identification of Hammerstein systems without explicit parameterisation of non-linearity. - Jiandong Wang; Akira Sano; Tongwen Chen; Biao Huang 001 (Int. J. Control, 2009)

H∞ structured model reduction algorithms for linear discrete systems via LMI-based optimisation. - Kwan Ho Lee; Biao Huang 001 (Int. J. Syst. Sci., 2009)

Performance assessment of advanced supervisory-regulatory control systems with subspace LQG benchmark. - N. Danesh Pour; Biao Huang 001; S. L. Shah 001 (Autom., 2010)

Estimation and control of solid oxide fuel cell system. - A. K. M. M. Murshed; Biao Huang 001; K. Nandakumar (Comput. Chem. Eng., 2010)

Bayesian method for identification of constrained nonlinear processes with missing output data. - Jing Deng; Biao Huang 001 (ACC, 2011)

An improved algebraic geometric solution to the identification of switched ARX models with noise. - Sohail Nazari; Qing Zhao; Biao Huang 001 (ACC, 2011)

Bayesian methods for control loop diagnosis in the presence of temporal dependent evidences. - Fei Qi; Biao Huang 001 (Autom., 2011)

Closed-loop identification condition for ARMAX models using routine operating data. - Yuri A. W. Shardt; Biao Huang 001 (Autom., 2011)

Data-based modeling and prediction of cytotoxicity induced by contaminants in water resources. - Shima Khatibisepehr; Biao Huang 001; Fadi Ibrahim; James Z. Xing; W. Roa (Comput. Biol. Chem., 2011)

Reconciling continuum and non-continuum data with industrial application. - Ruben Gonzalez; Biao Huang 001; Fangwei Xu; Aris Espejo; Joseph Amalraj; William Lam (Comput. Chem. Eng., 2011)

Dynamic output feedback robust model predictive control. - BaoCang Ding; Biao Huang 001; Fangwei Xu (Int. J. Syst. Sci., 2011)

Control Performance Assessment Subject to Multi-Objective User-Specified Performance Characteristics. - Chunyu Liu; Biao Huang 001; Qinglin Wang (IEEE Trans. Control. Syst. Technol., 2011)

Bayesian methods for process identification with outliers. - Shima Khatibisepehr; Biao Huang 001 (ACC, 2012)

Matrix-wise approach for identification of multi-mode Switched ARX models with noise. - Sohail Nazari; Qing Zhao; Biao Huang 001 (ACC, 2012)

Kalman filtering approach to multirate information fusion for soft sensor development. - Li Xie; Yijia Zhu; Biao Huang 001; Yisong Zheng (FUSION, 2012)

A particle filter based on a constrained sampling method for state estimation. - Zhong-Gai Zhao; Biao Huang 001; Cheng-Lin Liu (FUSION, 2012)

Identification of switched Markov autoregressive eXogenous systems with hidden switching state. - X. Jin; Biao Huang 001 (Autom., 2012)

Data-driven diagnosis with ambiguous hypotheses in historical data: A generalized Dempter-Shafer approach. - Ruben Gonzalez; Biao Huang 001 (FUSION, 2013)

Parameter estimation for a dual rate system with time delay. - Lili Han; Biao Huang 001 (ICCA, 2013)

Expectation maximization approach to gross error and change point detection. - Marziyeh Keshavarz; Biao Huang 001 (ICCA, 2013)

Ellipsoidal set based robust particle filtering for recursive Bayesian state estimation. - Xinguang Shao; Zhong-Gai Zhao; Fei Liu 001; Biao Huang 001 (ICCA, 2013)

Moving horizon estimation for switching nonlinear systems. - Yafeng Guo; Biao Huang 001 (Autom., 2013)

In vitro cytotoxicity assessment based on KC50 with real-time cell analyzer (RTCA) assay. - Tianhong Pan; Swanand R. Khare; Fred Ackah; Biao Huang 001; Weiping Zhang; Stephan Gabos; Can Jin; Melinda Stampfl (Comput. Biol. Chem., 2013)

Data quality assessment of routine operating data for process identification. - Yuri A. W. Shardt; Biao Huang 001 (Comput. Chem. Eng., 2013)

Bayesian method for state estimation of batch process with missing data. - Zhong-Gai Zhao; Biao Huang 001; Fei Liu 001 (Comput. Chem. Eng., 2013)

Parameter estimation in batch process using EM algorithm with particle filter. - Zhong-Gai Zhao; Biao Huang 001; Fei Liu 001 (Comput. Chem. Eng., 2013)

A moving horizon approach to a noncontinuum state estimation. - Moshood J. Olanrewaju; Biao Huang 001 (Int. J. Control, 2013)

Model Predictive Control: Algorithmic Development and Applications. - Liuping Wang; Biao Huang 001 (Int. J. Control, 2013)

A Particle Filter Approach to Approximate Posterior Cramer-Rao Lower Bound: The Case of Hidden States. - Aditya Tulsyan; Biao Huang 001; R. Bhushan Gopaluni; J. Fraser Forbes (IEEE Trans. Aerosp. Electron. Syst., 2013)

Diagnosis between sinusoidal oscillations and oscillatory colored noise. - Elham Naghoosi; Biao Huang 001 (ACC, 2014)

A variational Bayesian approach to identification of switched ARX models. - Yaojie Lu 003; Shima Khatibisepehr; Biao Huang 001 (CDC, 2014)

Mode of action classification of chemicals using multi-concentration time-dependent cellular response profiles. - Zhankun Xi; Swanand R. Khare; Aaron Cheung; Biao Huang 001; Tianhong Pan; Weiping Zhang; Fadi Ibrahim; Can Jin; Stephan Gabos (Comput. Biol. Chem., 2014)

Bayesian and Expectation Maximization methods for multivariate change point detection. - Marziyeh Keshavarz; Biao Huang 001 (Comput. Chem. Eng., 2014)

Expectation Maximization method for multivariate change point detection in presence of unknown and changing covariance. - Marziyeh Keshavarz; Biao Huang 001 (Comput. Chem. Eng., 2014)

Recursive constrained state estimation using modified extended Kalman filter. - Jagdeesan Prakash; Biao Huang 001; Sirish L. Shah (Comput. Chem. Eng., 2014)

Adaptive monitoring of the process operation based on symbolic episode representation and hidden Markov models with application toward an oil sand primary separation. - Nima Sammaknejad; Biao Huang 001; Alireza Fatehi; Yu Miao; Fangwei Xu; Aris Espejo (Comput. Chem. Eng., 2014)

Explicit/multi-parametric model predictive control of dissipative distributed parameter systems. - Liu Liu; Biao Huang 001; Stevan Dubljevic (ACC, 2015)

Constrained optimal boundary state estimation for dissipative systems. - Xiaodong Xu 002; Stevan Dubljevic; Biao Huang 001 (ACC, 2015)

State feedback output regulation for a class of hyperbolic PDE systems. - Xiaodong Xu 002; Biao Huang 001; Stevan Dubljevic (ECC, 2015)

State estimation incorporating infrequent, delayed and integral measurements. - Yafeng Guo; Biao Huang 001 (Autom., 2015)

Minimum variance unbiased FIR filter for discrete time-variant systems. - Shunyi Zhao; Yuriy S. Shmaliy; Biao Huang 001; Fei Liu 001 (Autom., 2015)

A unified data-driven design framework of optimality-based generalized iterative learning control. - Ronghu Chi; Zhongsheng Hou; Biao Huang 001; Shangtai Jin (Comput. Chem. Eng., 2015)

Detecting and isolating abrupt changes in linear switching systems. - Sohail Nazari; Qing Zhao; Biao Huang 001 (Int. J. Control, 2015)

Diagnosis of Oscillations Between Controller Tuning and Harmonic External Disturbances. - Elham Naghoosi; Biao Huang 001 (IEEE Trans. Control. Syst. Technol., 2015)

Bayesian Control Loop Diagnosis by Combining Historical Data and Process Knowledge of Fault Signatures. - Omid Namaki-Shoushtari; Biao Huang 001 (IEEE Trans. Ind. Electron., 2015)

Expectation-Maximization Approach to Fault Diagnosis With Missing Data. - Kangkang Zhang; Ruben Gonzalez; Biao Huang 001; Guoli Ji (IEEE Trans. Ind. Electron., 2015)

Fault Detection and Diagnosis of Multiple-Model Systems With Mismodeled Transition Probabilities. - Shunyi Zhao; Biao Huang 001; Fei Liu 001 (IEEE Trans. Ind. Electron., 2015)

Identification of linear dynamic errors-in-variables systems with a dynamic uncertain input using the EM algorithm. - Ouyang Wu; K. Hariprasad; Biao Huang 001; J. Fraser Forbes (CDC, 2016)

GMM and optimal principal components-based Bayesian method for multimode fault diagnosis. - Qingchao Jiang; Biao Huang 001; Xuefeng Yan (Comput. Chem. Eng., 2016)

Robust probabilistic principal component analysis for process modeling subject to scaled mixture Gaussian noise. - Anahita Sadeghian; Biao Huang 001 (Comput. Chem. Eng., 2016)

JITL based MWGPR soft sensor for multi-mode process with dual-updating strategy. - Weili Xiong; Wei Zhang; Baoguo Xu; Biao Huang 001 (Comput. Chem. Eng., 2016)

Robust optimization under correlated uncertainty: Formulations and computational study. - Yuan Yuan 007; Zukui Li; Biao Huang 001 (Comput. Chem. Eng., 2016)

Dynamic higher-order cumulants analysis for state monitoring based on a novel lag selection. - Guijin Jia; Youqing Wang; Biao Huang 001 (Inf. Sci., 2016)

Predicting GHS toxicity using RTCA and discrete-time Fourier transform. - Jiao Chen; Tianhong Pan; Tianqing Pu; Biao Huang 001; Dorothy Yu Huang; Weiping Zhang; Stephan Gabos; Can Jin (J. Bioinform. Comput. Biol., 2016)

A direct maximum likelihood optimization approach to identification of LPV time-delay systems. - Xianqiang Yang 001; Biao Huang 001; Huijun Gao (J. Frankl. Inst., 2016)

An Immune System-Inspired Reconfigurable Controller. - Yongsheng Ding; Nan Xu; Shengfang Dai; Lihong Ren; Kuangrong Hao; Biao Huang 001 (IEEE Trans. Control. Syst. Technol., 2016)

A Variational Bayesian Approach to Robust Identification of Switched ARX Models. - Yaojie Lu 003; Biao Huang 001; Shima Khatibisepehr (IEEE Trans. Cybern., 2016)

Bayesian Fault Diagnosis With Asynchronous Measurements and Its Application in Networked Distributed Monitoring. - Qingchao Jiang; Biao Huang 001; Steven X. Ding; Xuefeng Yan (IEEE Trans. Ind. Electron., 2016)

Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference. - Qingchao Jiang; Xuefeng Yan; Biao Huang 001 (IEEE Trans. Ind. Electron., 2016)

Robust Diagnosis of Operating Mode Based on Time-Varying Hidden Markov Models. - Nima Sammaknejad; Biao Huang 001; Yaojie Lu 003 (IEEE Trans. Ind. Electron., 2016)

Simultaneous estimation of sub-model number and parameters for mixture probability principal component regression. - Shabnam Sedghi; Biao Huang 001 (ASCC, 2017)

Identification of nonlinear errors-in-variables systems in state-space form: A linear parameter varying approach. - Ouyang Wu; Hariprasad Kodamana; Juan Li; Biao Huang 001; J. Fraser Forbes (ASCC, 2017)

Data Mining and Analytics in the Process Industry: The Role of Machine Learning. - Zhiqiang Ge; Zhihuan Song; Steven X. Ding; Biao Huang 001 (IEEE Access, 2017)

Bayesian state estimation on finite horizons: The case of linear state-space model. - Shunyi Zhao; Biao Huang 001; Yuriy S. Shmaliy (Autom., 2017)

Mixture semisupervised probabilistic principal component regression model with missing inputs. - Shabnam Sedghi; Anahita Sadeghian; Biao Huang 001 (Comput. Chem. Eng., 2017)

Reliable H∞ control for nonlinear discrete-time systems with multiple intermittent faults in sensors or actuators. - Liang Cao; Yuan Tao; Youqing Wang; Juan Li; Biao Huang 001 (Int. J. Syst. Sci., 2017)

Parameter-based conditions for closed-loop system identifiability of ARX models with routine operating data. - Yuri A. W. Shardt; Biao Huang 001 (J. Frankl. Inst., 2017)

Robust optimization approximation for joint chance constrained optimization problem. - Yuan Yuan 007; Zukui Li; Biao Huang 001 (J. Glob. Optim., 2017)

Iterative Residual Generator for Fault Detection With Linear Time-Invariant State-Space Models. - Shunyi Zhao; Biao Huang 001 (IEEE Trans. Autom. Control., 2017)

Linear Optimal Unbiased Filter for Time-Variant Systems Without Apriori Information on Initial Conditions. - Shunyi Zhao; Biao Huang 001; Fei Liu 001 (IEEE Trans. Autom. Control., 2017)

Control Design for Disturbance Rejection in the Presence of Uncertain Delays. - Qibing Jin; Qie Liu; Biao Huang 001 (IEEE Trans Autom. Sci. Eng., 2017)

Iteration Tuning of Disturbance Observer-Based Control System Satisfying Robustness Index for FOPTD Processes. - Qie Liu; Qibing Jin; Biao Huang 001; Min Liu 013 (IEEE Trans. Control. Syst. Technol., 2017)

Interaction Analysis of Multivariate Control Systems Under Bayesian Framework. - Elham Naghoosi; Biao Huang 001 (IEEE Trans. Control. Syst. Technol., 2017)

A Probabilistic Just-in-Time Learning Framework for Soft Sensor Development With Missing Data. - Xiaofeng Yuan; Zhiqiang Ge; Biao Huang 001; Zhihuan Song (IEEE Trans. Control. Syst. Technol., 2017)

Detection and Diagnosis of Multiple Faults With Uncertain Modeling Parameters. - Shunyi Zhao; Biao Huang 001; Fei Liu 001 (IEEE Trans. Control. Syst. Technol., 2017)

A Data-Based Augmented Model Identification Method for Linear Errors-in-Variables Systems Based on EM Algorithm. - Fan Guo 002; Ouyang Wu; Yongsheng Ding; Biao Huang 001 (IEEE Trans. Ind. Electron., 2017)

Bayesian Learning for Dynamic Feature Extraction With Application in Soft Sensing. - Yanjun Ma; Biao Huang 001 (IEEE Trans. Ind. Electron., 2017)

A Data-Driven Hybrid ARX and Markov Chain Modeling Approach to Process Identification With Time-Varying Time Delays. - Yujia Zhao; Alireza Fatehi; Biao Huang 001 (IEEE Trans. Ind. Electron., 2017)

Robust Identification of Nonlinear Errors-in-Variables Systems With Parameter Uncertainties Using Variational Bayesian Approach. - Fan Guo 002; Hariprasad Kodamana; Yujia Zhao; Biao Huang 001; Yongsheng Ding (IEEE Trans. Ind. Informatics, 2017)

Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR. - Xiaofeng Yuan; Zhiqiang Ge; Biao Huang 001; Zhihuan Song; Yalin Wang 003 (IEEE Trans. Ind. Informatics, 2017)

State Estimation and Fusion in the Presence of Integrated Measurement. - Alireza Fatehi; Biao Huang 001 (IEEE Trans. Instrum. Meas., 2017)

A Variational Bayesian Approach to Modelling with Random Time-varying Time Delays. - Yanjun Ma; Seraphina Kwak; Lei Fan; Biao Huang 001 (ACC, 2018)

Switching Conditional Random Field Approach to Process Operating Mode Diagnosis for Multi-Modal Processes. - Mengqi Fang; Hariprasad Kodamana; Biao Huang 001 (CDC, 2018)

Constrained Extended Kalman Filter based on Kullback-Leibler (KL) Divergence. - Ruoxia Li 005; Nabil Magbool Jan; Vinay Prasad; Biao Huang 001 (ECC, 2018)

Variational Bayesian approach for ARX systems with missing observations and varying time-delays. - Jing Chen 007; Biao Huang 001; Feng Ding 001; Ya Gu (Autom., 2018)

Higher order moment stability region for Markov jump systems based on cumulant generating function. - Xiaoli Luan; Biao Huang 001; Fei Liu 001 (Autom., 2018)

Process monitoring using a generalized probabilistic linear latent variable model. - Rahul Raveendran; Hariprasad Kodamana; Biao Huang 001 (Autom., 2018)

A novel approach to process operating mode diagnosis using conditional random fields in the presence of missing data. - Mengqi Fang; Hariprasad Kodamana; Biao Huang 001; Nima Sammaknejad (Comput. Chem. Eng., 2018)

Distributed dynamic modeling and monitoring for large-scale industrial processes under closed-loop control. - Wenqing Li; Chunhui Zhao 001; Biao Huang 001 (CoRR, 2018)

Expectation maximization estimation for a class of input nonlinear state space systems by using the Kalman smoother. - Junxia Ma; Ouyang Wu; Biao Huang 001; Feng Ding 001 (Signal Process., 2018)

A switching strategy for adaptive state estimation. - Aditya Tulsyan; Swanand R. Khare; Biao Huang 001; R. Bhushan Gopaluni; J. Fraser Forbes (Signal Process., 2018)

Localization of Indoor Mobile Robot Using Minimum Variance Unbiased FIR Filter. - Shunyi Zhao; Biao Huang 001; Fei Liu 001 (IEEE Trans Autom. Sci. Eng., 2018)

Robust Estimation of ARX Models With Time Varying Time Delays Using Variational Bayesian Approach. - Yujia Zhao; Alireza Fatehi; Biao Huang 001 (IEEE Trans. Cybern., 2018)

Recursive Slow Feature Analysis for Adaptive Monitoring of Industrial Processes. - Chao Shang 002; Fan Yang 005; Biao Huang 001; Dexian Huang (IEEE Trans. Ind. Electron., 2018)

Triggered Communication in Distributed Adaptive High-Gain EKF. - Mohammad Rashedi; Jinfeng Liu 001; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2018)

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE. - Xiaofeng Yuan; Biao Huang 001; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2018)

Computationally Efficient Data-Driven Higher Order Optimal Iterative Learning Control. - Ronghu Chi; Zhongsheng Hou; Shangtai Jin; Biao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

An Augmented Model Approach for Identification of Nonlinear Errors-in-Variables Systems Using the EM Algorithm. - Fan Guo 002; Ouyang Wu; Hariprasad Kodamana; Yongsheng Ding; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Control Performance Assessment for ILC-Controlled Batch Processes in a 2-D System Framework. - Youqing Wang; Hao Zhang; Shaolong Wei; Donghua Zhou; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Dissipativity Analysis for Linear Systems in the Behavioural Framework. - Yitao Yan; Jie Bao 002; Biao Huang 001 (ANZCC, 2019)

Linear Time-Varying Data Model-Based Iterative Learning Recursive Least Squares Identifications for Repetitive Systems. - Na Lin 002; Ronghu Chi; Biao Huang 001 (IEEE Access, 2019)

Data rectification for multiple operating modes: A MAP framework. - Hashem Alighardashi; Nabil Magbool Jan; Biao Huang 001 (Comput. Chem. Eng., 2019)

Dynamic prediction of interface level using spatial temporal markov random field. - Zheyuan Liu 004; Hariprasad Kodamana; Artin Afacan; Biao Huang 001 (Comput. Chem. Eng., 2019)

Computer vision system for froth-middlings interface level detection in the primary separation vessels. - Agustín Vicente; Rahul Raveendran; Biao Huang 001; Shabnam Sedghi; Anuj Narang; Hailei Jiang; Warren Mitchell (Comput. Chem. Eng., 2019)

Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control. - Na Lin 002; Ronghu Chi; Biao Huang 001; Zhongsheng Hou (J. Frankl. Inst., 2019)

Iterative dynamic linearization and identification of a nonlinear learning controller: A data-driven approach. - Na Lin 002; Ronghu Chi; Biao Huang 001; Zhongsheng Hou (J. Frankl. Inst., 2019)

Multiple-Model State Estimation Based on Variational Bayesian Inference. - Yanjun Ma; Shunyi Zhao; Biao Huang 001 (IEEE Trans. Autom. Control., 2019)

Neighborhood Variational Bayesian Multivariate Analysis for Distributed Process Monitoring With Missing Data. - Qingchao Jiang; Xuefeng Yan; Biao Huang 001 (IEEE Trans. Control. Syst. Technol., 2019)

Mixtures of Probabilistic PCA With Common Structure Latent Bases for Process Monitoring. - Hariprasad Kodamana; Rahul Raveendran; Biao Huang 001 (IEEE Trans. Control. Syst. Technol., 2019)

Variational Bayesian Approach for Causality and Contemporaneous Correlation Features Inference in Industrial Process Data. - Rahul Raveendran; Biao Huang 001 (IEEE Trans. Cybern., 2019)

Probabilistic Monitoring of Sensors in State-Space With Variational Bayesian Inference. - Shunyi Zhao; Yanjun Ma; Biao Huang 001 (IEEE Trans. Ind. Electron., 2019)

Feature Extraction of Constrained Dynamic Latent Variables. - Yanjun Ma; Shunyi Zhao; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2019)

Simultaneous Static and Dynamic Analysis for Fine-Scale Identification of Process Operation Statuses. - Shumei Zhang; Chunhui Zhao 001; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2019)

Robust FIR State Estimation of Dynamic Processes Corrupted by Outliers. - Shunyi Zhao; Yanjun Ma; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2019)

Multivariate Gaussian process regression for nonlinear modelling with colored noise. - Xiaodan Hong; Biao Huang 001; Yongsheng Ding; Fan Guo 002; Lei Chen 064; Lihong Ren (Trans. Inst. Meas. Control, 2019)

An Improved Data-Driven Point-to-Point ILC Using Additional On-Line Control Inputs With Experimental Verification. - Ronghu Chi; Zhongsheng Hou; Shangtai Jin; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Trial-and-error or avoiding a guess? Initialization of the Kalman filter. - Shunyi Zhao; Biao Huang 001 (Autom., 2020)

Extracting nonstationary features for process data analytics and application in fouling detection. - Seraphina Kwak; Yanjun Ma; Biao Huang 001 (Comput. Chem. Eng., 2020)

Hybrid kernel approach to Gaussian process modeling with colored noises. - Zhenxing Li; Fan Guo 002; Lei Chen 064; Kuangrong Hao; Biao Huang 001 (Comput. Chem. Eng., 2020)

A review On reinforcement learning: Introduction and applications in industrial process control. - Rui Nian; Jinfeng Liu 001; Biao Huang 001 (Comput. Chem. Eng., 2020)

Data analytics approach for online produced fluid flow rate estimation in SAGD process. - Shabnam Sedghi; Ruomu Tan; Biao Huang 001 (Comput. Chem. Eng., 2020)

A hierarchical constrained reinforcement learning for optimization of bitumen recovery rate in a primary separation vessel. - Hareem Shafi; Kirubakaran Velswamy; Fadi Ibrahim; Biao Huang 001 (Comput. Chem. Eng., 2020)

A consensus-based approach for parameter and state estimation of agro-hydrological system. - Xunyuan Yin; Song Bo; Jinfeng Liu 001; Biao Huang 001 (CoRR, 2020)

Multiple step ahead prediction based high order discrete-time sliding mode control design with actuator and communication delays. - Yousef Alipouri; Hasan Alipour; Biao Huang 001 (J. Frankl. Inst., 2020)

Distributed iterative learning temperature control for multi-zone HVAC system. - Ronghu Chi; Yunkai Lv; Biao Huang 001 (J. Frankl. Inst., 2020)

Data-driven nonlinear ILC with varying trial lengths. - Jianmin Xing; Na Lin 002; Ronghu Chi; Biao Huang 001; Zhongsheng Hou (J. Frankl. Inst., 2020)

Oil sands extraction plant debottlenecking: an optimization approach. - Yuan Yuan 007; Zukui Li; Biao Huang 001 (Optim. Lett., 2020)

Global convergence of the EM algorithm for ARX models with uncertain communication channels. - Jing Chen 007; Biao Huang 001; Quanmin Zhu; Yanjun Liu 001; Lun Li (Syst. Control. Lett., 2020)

Deep Discriminative Representation Learning for Nonlinear Process Fault Detection. - Qingchao Jiang; Xuefeng Yan; Biao Huang 001 (IEEE Trans Autom. Sci. Eng., 2020)

Detecting the Direction of Information Flow in Instantaneous Relations Between Variables. - Elham Naghoosi; Biao Huang 001 (IEEE Trans. Control. Syst. Technol., 2020)

Adjacent-Agent Dynamic Linearization-Based Iterative Learning Formation Control. - Ronghu Chi; Yu Hui; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Cybern., 2020)

Discrete-Time Extended State Observer-Based Model-Free Adaptive Control Via Local Dynamic Linearization. - Ronghu Chi; Yu Hui; Shuhua Zhang; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Ind. Electron., 2020)

Real-Time Mode Diagnosis for Processes With Multiple Operating Conditions Using Switching Conditional Random Fields. - Mengqi Fang; Hariprasad Kodamana; Biao Huang 001 (IEEE Trans. Ind. Electron., 2020)

Data-Driven Modeling Based on Two-Stream ${ rm{ lambda }}$ Gated Recurrent Unit Network With Soft Sensor Application. - Ruimin Xie; Kuangrong Hao; Biao Huang 001; Lei Chen 064; Xin Cai (IEEE Trans. Ind. Electron., 2020)

Guest Editorial: Special Section on Smart Process Manufacturing Driven by Artificial Intelligence. - Feng Qian 004; Huijun Gao; Biao Huang 001; David Bogle (IEEE Trans. Ind. Informatics, 2020)

Supervised Variational Autoencoders for Soft Sensor Modeling With Missing Data. - Ruimin Xie; Nabil Magbool Jan; Kuangrong Hao; Lei Chen 064; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2020)

Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy. - Xiaofeng Yuan; Jiao Zhou; Biao Huang 001; Yalin Wang 003; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Ind. Informatics, 2020)

3-D Learning-Enhanced Adaptive ILC for Iteration-Varying Formation Tasks. - Yu Hui; Ronghu Chi; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Neural Networks Learn. Syst., 2020)

Iterative Identification of Hammerstein Parameter Varying Systems With Parameter Uncertainties Based on the Variational Bayesian Approach. - Junxia Ma; Biao Huang 001; Feng Ding 001 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

On Identification of a Coupled Four Tank System. - Rasoul M. Milasi; Biao Huang 001 (ICCSE, 2021)

A novel reduced-order algorithm for rational models based on Arnoldi process and Krylov subspace. - Jing Chen 007; Biao Huang 001; Min Gan; C. L. Philip Chen (Autom., 2021)

A just-in-time modeling approach for multimode soft sensor based on Gaussian mixture variational autoencoder. - Fan Guo 002; Bing Wei; Biao Huang 001 (Comput. Chem. Eng., 2021)

Complex probabilistic slow feature extraction with applications in process data analytics. - Vamsi Krishna Puli; Rahul Raveendran; Biao Huang 001 (Comput. Chem. Eng., 2021)

Behavioural Approach to Distributed Control of Interconnected Systems. - Yitao Yan; Jie Bao 002; Biao Huang 001 (CoRR, 2021)

A comparative study of model approximation methods applied to economic MPC. - Zhiyinan Huang; Qinyao Liu; Jinfeng Liu 001; Biao Huang 001 (CoRR, 2021)

Performance assessment of distributed LQG control subject to communication delays. - Guoyang Yan; Jinfeng Liu 001; Yousef Alipouri; Biao Huang 001 (Int. J. Control, 2021)

Soft sensor based on eXtreme gradient boosting and bidirectional converted gates long short-term memory self-attention network. - Xiuli Zhu; Kuangrong Hao; Ruimin Xie; Biao Huang 001 (Neurocomputing, 2021)

A Gaussian mixture model based virtual sample generation approach for small datasets in industrial processes. - Ling Li; Seshu Kumar Damarla; Yalin Wang 003; Biao Huang 001 (Inf. Sci., 2021)

Identification of Gaussian process with switching noise mode and missing data. - Wentao Bai; Fan Guo 002; Lei Chen 064; Kuangrong Hao; Biao Huang 001 (J. Frankl. Inst., 2021)

Event-triggered learning consensus of networked heterogeneous nonlinear agents with switching topologies. - Na Lin 002; Ronghu Chi; Biao Huang 001 (J. Frankl. Inst., 2021)

Data-driven design of fault detection and isolation method for distributed homogeneous systems. - Xu Yang 006; Jingjing Gao; Biao Huang 001 (J. Frankl. Inst., 2021)

Convergence Analysis of Sampled-Data ILC for Locally Lipschitz Continuous Nonlinear Nonaffine Systems With Nonrepetitive Uncertainties. - Ronghu Chi; Yu Hui; Chiang-Ju Chien; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Autom. Control., 2021)

Active Disturbance Rejection Control for Nonaffined Globally Lipschitz Nonlinear Discrete-Time Systems. - Ronghu Chi; Yu Hui; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Autom. Control., 2021)

State Estimation for Multirate Measurements in the Presence of Integral Term and Variable Delay. - Ruijing Han; Yousef Salehi; Biao Huang 001; Vinay Prasad (IEEE Trans. Control. Syst. Technol., 2021)

A Variational Bayesian Causal Analysis Approach for Time-Varying Systems. - Rahul Raveendran; Biao Huang 001; Warren Mitchell (IEEE Trans. Control. Syst. Technol., 2021)

A Holistic Probabilistic Framework for Monitoring Nonstationary Dynamic Industrial Processes. - David Scott; Chao Shang 002; Biao Huang 001; Dexian Huang (IEEE Trans. Control. Syst. Technol., 2021)

Stationary Subspace Analysis-Based Hierarchical Model for Batch Processes Monitoring. - Wanke Yu; Chunhui Zhao 001; Biao Huang 001 (IEEE Trans. Control. Syst. Technol., 2021)

Siamese Neural Network-Based Supervised Slow Feature Extraction for Soft Sensor Application. - Ranjith Chiplunkar; Biao Huang 001 (IEEE Trans. Ind. Electron., 2021)

Hidden Markov Model-Based Attack Detection for Networked Control Systems Subject to Random Packet Dropouts. - Genghong Lu; Dongqin Feng; Biao Huang 001 (IEEE Trans. Ind. Electron., 2021)

Online Probabilistic Estimation of Sensor Faulty Signal in Industrial Processes and Its Applications. - Shunyi Zhao; Biao Huang 001; Chunhui Zhao 001 (IEEE Trans. Ind. Electron., 2021)

Identification of Two-Dimensional Causal Systems With Missing Output Data via Expectation-Maximization Algorithm. - Jing Chen 007; Biao Huang 001; Feng Ding 001 (IEEE Trans. Ind. Informatics, 2021)

Kalman Filter-Based Convolutional Neural Network for Robust Tracking of Froth-Middling Interface in a Primary Separation Vessel in Presence of Occlusions. - Faraz Amjad; Santhosh Kumar Varanasi; Biao Huang 001 (IEEE Trans. Instrum. Meas., 2021)

Data-Driven Fault Detection for Dynamic Systems With Performance Degradation: A Unified Transfer Learning Framework. - Hongtian Chen; Zheng Chai; Bin Jiang 001; Biao Huang 001 (IEEE Trans. Instrum. Meas., 2021)

Dual Neural Extended Kalman Filtering Approach for Multirate Sensor Data Fusion. - Jingyi Wang 005; Yousef Alipouri; Biao Huang 001 (IEEE Trans. Instrum. Meas., 2021)

Event-Triggered Nonlinear Iterative Learning Control. - Na Lin 002; Ronghu Chi; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Neural Networks Learn. Syst., 2021)

Extended State Observer-Based Data-Driven Iterative Learning Control for Permanent Magnet Linear Motor With Initial Shifts and Disturbances. - Yu Hui; Ronghu Chi; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Observer-Based Sampled-Data Model-Free Adaptive Control for Continuous-Time Nonlinear Nonaffine Systems With Input Rate Constraints. - Yu Hui; Ronghu Chi; Biao Huang 001; Zhongsheng Hou; Shangtai Jin (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Event-Triggered Model-Free Adaptive Control. - Na Lin 002; Ronghu Chi; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Auxiliary Predictive Compensation-Based ILC for Variable Pass Lengths. - Na Lin 002; Ronghu Chi; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Forward-Backward Smoothers With Finite Impulse Response Structure. - Agustín Vicente; Shunyi Zhao; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

A generalized probabilistic monitoring model with both random and sequential data. - Wanke Yu; Min Wu 002; Biao Huang 001; Chengda Lu (Autom., 2022)

Reinforcement learning approach to autonomous PID tuning. - Oguzhan Dogru; Kirubakaran Velswamy; Fadi Ibrahim; Yuqi Wu; Arun Senthil Sundaramoorthy; Biao Huang 001; Shu Xu 003; Mark Nixon; Noel Bell (Comput. Chem. Eng., 2022)

A hybrid modelling approach to model process dynamics by the discovery of a system of partial differential equations. - Kiran Raviprakash; Biao Huang 001; Vinay Prasad (Comput. Chem. Eng., 2022)

Sparsity constrained wavelet neural networks for robust soft sensor design with application to the industrial KIVCET unit. - Santhosh Kumar Varanasi; Atefeh Daemi; Biao Huang 001; Graham Slot; Primo Majoko (Comput. Chem. Eng., 2022)

Model predictive control of agro-hydrological systems based on a two-layer neural network modeling framework. - Zhiyinan Huang; Jinfeng Liu 001; Biao Huang 001 (CoRR, 2022)

A Transferable Multi-stage Model with Cycling Discrepancy Learning for Lithium-ion Battery State of Health Estimation. - Yan Qin; Chau Yuen; Xunyuan Yin; Biao Huang 001 (CoRR, 2022)

Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey. - R. Bhushan Gopaluni; Aditya Tulsyan; Benoît Chachuat; Biao Huang 001; Jong Min Lee 002; Faraz Amjad; Seshu Kumar Damarla; Jong Woo Kim; Nathan P. Lawrence (CoRR, 2022)

SFNet: A slow feature extraction network for parallel linear and nonlinear dynamic process monitoring. - Pengyu Song; Chunhui Zhao 001; Biao Huang 001 (Neurocomputing, 2022)

Quantisation compensated data-driven iterative learning control for nonlinear systems. - Huimin Zhang; Ronghu Chi; Zhongsheng Hou; Biao Huang 001 (Int. J. Syst. Sci., 2022)

Data-Driven Communication Efficient Distributed Monitoring for Multiunit Industrial Plant-Wide Processes. - Qingchao Jiang; Shutian Chen; Xuefeng Yan; Manabu Kano; Biao Huang 001 (IEEE Trans Autom. Sci. Eng., 2022)

Sparse Inverse Covariance Estimation for Causal Inference in Process Data Analytics. - Arun Senthil Sundaramoorthy; Santhosh Kumar Varanasi; Biao Huang 001; Yanjun Ma; Haitao Zhang; Dian Wang 005 (IEEE Trans. Control. Syst. Technol., 2022)

Multisource-Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies. - Zheng Chai; Chunhui Zhao 001; Biao Huang 001 (IEEE Trans. Cybern., 2022)

Variational Progressive-Transfer Network for Soft Sensing of Multirate Industrial Processes. - Zheng Chai; Chunhui Zhao 001; Biao Huang 001 (IEEE Trans. Cybern., 2022)

A Single-Side Neural Network-Aided Canonical Correlation Analysis With Applications to Fault Diagnosis. - Hongtian Chen; Zhiwen Chen 001; Zheng Chai; Bin Jiang 001; Biao Huang 001 (IEEE Trans. Cybern., 2022)

Spatial Linear Dynamic Relationship of Strongly Connected Multiagent Systems and Adaptive Learning Control for Different Formations. - Ronghu Chi; Yu Hui; Biao Huang 001; Zhongsheng Hou; Xuhui Bu (IEEE Trans. Cybern., 2022)

Quantitative Data-Driven Adaptive Iterative Learning Control: From Trajectory Tracking to Point-to-Point Tracking. - Ronghu Chi; Huimin Zhang; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Cybern., 2022)

Event-Triggered ILC for Optimal Consensus at Specified Data Points of Heterogeneous Networked Agents With Switching Topologies. - Na Lin 002; Ronghu Chi; Biao Huang 001 (IEEE Trans. Cybern., 2022)

MoniNet With Concurrent Analytics of Temporal and Spatial Information for Fault Detection in Industrial Processes. - Wanke Yu; Chunhui Zhao 001; Biao Huang 001 (IEEE Trans. Cybern., 2022)

Reinforcement Learning With Constrained Uncertain Reward Function Through Particle Filtering. - Oguzhan Dogru; Ranjith Chiplunkar; Biao Huang 001 (IEEE Trans. Ind. Electron., 2022)

Offline and Online Parameter Learning for Switching Multirate Processes With Varying Delays and Integrated Measurements. - Yousef Salehi; Biao Huang 001 (IEEE Trans. Ind. Electron., 2022)

Sensor Fault Estimation in a Probabilistic Framework for Industrial Processes and its Applications. - Chen Xu 009; Shunyi Zhao; Yanjun Ma; Biao Huang 001; Fei Liu 001; Xiaoli Luan (IEEE Trans. Ind. Informatics, 2022)

Parallel Interaction Spatiotemporal Constrained Variational Autoencoder for Soft Sensor Modeling. - Xiuli Zhu; Seshu Kumar Damarla; Kuangrong Hao; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2022)

Robust Variational Bayesian-Based Soft Sensor Model for LPV Processes With Delayed and Integrated Output Measurements. - Yousef Salehi; Biao Huang 001 (IEEE Trans. Instrum. Meas., 2022)

Sparse and Time-Varying Predictive Relation Extraction for Root Cause Quantification of Nonstationary Process Faults. - Pengyu Song; Chunhui Zhao 001; Biao Huang 001; Min Wu 002 (IEEE Trans. Instrum. Meas., 2022)

Multirate Sensor Fusion in the Presence of Irregular Measurements and Time-Varying Time Delays Using Synchronized, Neural, Extended Kalman Filters. - Jingyi Wang 005; Yousef Alipouri; Biao Huang 001 (IEEE Trans. Instrum. Meas., 2022)

Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives. - Hongtian Chen; Bin Jiang 001; Steven X. Ding; Biao Huang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Transfer Learning for Dynamic Feature Extraction Using Variational Bayesian Inference. - Junyao Xie; Biao Huang 001; Stevan Dubljevic (IEEE Trans. Knowl. Data Eng., 2022)

A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data. - Zheng Chai; Chunhui Zhao 001; Biao Huang 001; Hongtian Chen (IEEE Trans. Neural Networks Learn. Syst., 2022)

Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning. - Hongtian Chen; Zheng Chai; Oguzhan Dogru; Bin Jiang 001; Biao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Data-Driven Adaptive Consensus Learning From Network Topologies. - Ronghu Chi; Yu Hui; Biao Huang 001; Zhongsheng Hou; Xuhui Bu (IEEE Trans. Neural Networks Learn. Syst., 2022)

Discrete-Time-Distributed Adaptive ILC With Nonrepetitive Uncertainties and Applications to Building HVAC Systems. - Ronghu Chi; Yu Hui; Rongrong Wang; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Event-Triggered Distributed Moving Horizon State Estimation of Linear Systems. - Xunyuan Yin; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

A Koopman Operator-Based Finite Impulse Response Filter for Nonlinear Systems. - Zhichao Pan; Biao Huang 001; Fei Liu 001 (CDC, 2023)

Moving Horizon Estimation for Discrete-Time Linear Time-Invariant Systems Using Transfer Learning. - Junyao Xie; Biao Huang 001 (CDC, 2023)

Reinforcement learning for soft sensor design through autonomous cross-domain data selection. - Junyao Xie; Oguzhan Dogru; Biao Huang 001; Chris Godwaldt; Brett Willms (Comput. Chem. Eng., 2023)

Estimation of minimum miscibility pressure (MMP) in impure/pure N2 based enhanced oil recovery process: A comparative study of statistical and machine learning algorithms. - Xiuli Zhu; Seshu Kumar Damarla; Biao Huang 001 (CoRR, 2023)

Robust MPC with Zone Tracking. - Zhiyinan Huang; Jinfeng Liu 001; Biao Huang 001 (CoRR, 2023)

Surrogate Empowered Sim2Real Transfer of Deep Reinforcement Learning for ORC Superheat Control. - Runze Lin; Yangyang Luo; Xialai Wu; Junghui Chen; Biao Huang 001; Lei Xie 007; Hongye Su (CoRR, 2023)

No-Delay Multimodal Process Monitoring Using Kullback-Leibler Divergence-Based Statistics in Probabilistic Mixture Models. - Yue Cao 004; Nabil Magbool Jan; Biao Huang 001; Yalin Wang 003; Zhuofu Pan; Weihua Gui 001 (IEEE Trans Autom. Sci. Eng., 2023)

Fault Detection for Nonlinear Dynamic Systems With Consideration of Modeling Errors: A Data-Driven Approach. - Hongtian Chen; Linlin Li 005; Chao Shang 002; Biao Huang 001 (IEEE Trans. Cybern., 2023)

Incremental Variational Bayesian Gaussian Mixture Model With Decremental Optimization for Distribution Accommodation and Fine-Scale Adaptive Process Monitoring. - Qingyang Dai; Chunhui Zhao 001; Biao Huang 001 (IEEE Trans. Cybern., 2023)

A Robust Dissimilarity Distribution Analytics With Laplace Distribution for Incipient Fault Detection. - Wanke Yu; Chunhui Zhao 001; Biao Huang 001; Min Wu 002 (IEEE Trans. Ind. Electron., 2023)

Tuning-Free Bayesian Estimation Algorithms for Faulty Sensor Signals in State-Space. - Shunyi Zhao; Ke Li 034; Choon Ki Ahn; Biao Huang 001; Fei Liu 001 (IEEE Trans. Ind. Electron., 2023)

Process Monitoring Using Domain-Adversarial Probabilistic Principal Component Analysis: A Transfer Learning Framework. - Atefeh Daemi; R. Bhushan Gopaluni; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2023)

Deep Bayesian Slow Feature Extraction With Application to Industrial Inferential Modeling. - Chao Jiang; Yusheng Lu; Weimin Zhong; Biao Huang 001; Dayu Tan; Wenjiang Song; Feng Qian 004 (IEEE Trans. Ind. Informatics, 2023)

A Transferable Multistage Model With Cycling Discrepancy Learning for Lithium-Ion Battery State of Health Estimation. - Yan Qin; Chau Yuen; Xunyuan Yin; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2023)

ConvLSTM and Self-Attention Aided Canonical Correlation Analysis for Multioutput Soft Sensor Modeling. - Xiuli Zhu; Seshu Kumar Damarla; Kuangrong Hao; Biao Huang 001; Hongtian Chen; Yicun Hua (IEEE Trans. Instrum. Meas., 2023)

Adaptive niching particle swarm optimization with local search for multimodal optimization. - Rui Wang; Kuangrong Hao; Biao Huang 001; Xiuli Zhu (Appl. Soft Comput., 2023)

Enhanced P-Type Control: Indirect Adaptive Learning From Set-Point Updates. - Ronghu Chi; Huaying Li; Dong Shen; Zhongsheng Hou; Biao Huang 001 (IEEE Trans. Autom. Control., 2023)

MPGE and RootRank: A sufficient root cause characterization and quantification framework for industrial process faults. - Pengyu Song; Chunhui Zhao 001; Biao Huang 001 (Neural Networks, 2023)

Data-driven set-point control for nonlinear nonaffine systems. - Na Lin 002; Ronghu Chi; Biao Huang 001 (Inf. Sci., 2023)

Variational Bayesian Inference for Robust Identification of PWARX Systems With Time-Varying Time-Delays. - Wentao Bai; Fan Guo 002; Lei Chen 064; Kuangrong Hao; Biao Huang 001 (IEEE Trans. Cybern., 2023)

Double Dynamic Linearization-Based Higher Order Indirect Adaptive Iterative Learning Control. - Huaying Li; Ronghu Chi; Zhongsheng Hou; Biao Huang 001 (IEEE Trans. Cybern., 2023)

Variational Bayesian Approach to Nonstationary and Oscillatory Slow Feature Analysis With Applications in Soft Sensing and Process Monitoring. - Vamsi Krishna Puli; Biao Huang 001 (IEEE Trans. Control. Syst. Technol., 2023)

Data-Driven Virtual Reference Set-Point Learning of PD Control and Applications to Permanent Magnet Linear Motors. - Na Lin 002; Huaying Li; Ronghu Chi; Zhongsheng Hou; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Data-driven fault detection for Lipschitz nonlinear systems: From open to closed-loop systems. - Hongtian Chen; Zhongyan Liu; Biao Huang 001 (Autom., 2023)

Topology identification of sparse network: A stochastic variational Bayesian approach. - Qie Liu; Biao Huang 001; Yi Chai; Wenbo Li (Autom., 2023)

Data-driven designs of observers and controllers via solving model matching problems. - Hongtian Chen; Hao Luo 003; Biao Huang 001; Bin Jiang 001; Okyay Kaynak (Autom., 2023)

Identification of Errors-in-Variable System With Heteroscedastic Noise and Partially Known Input Using Variational Bayesian. - Jinxi Zhang; Fan Guo 002; Kuangrong Hao; Biao Huang 001; Lei Chen 064 (IEEE Trans. Ind. Informatics, 2023)

Confidence set-membership FIR filter for discrete time-variant systems. - Zhichao Pan; Shunyi Zhao; Biao Huang 001; Fei Liu 001 (Autom., 2023)

Fault-Tolerant Soft Sensors for Dynamic Systems. - Hongtian Chen; Biao Huang 001 (IEEE Trans. Control. Syst. Technol., 2023)

Data-Driven Adaptive Iterative Learning Bipartite Consensus for Heterogeneous Nonlinear Cooperation-Antagonism Networks. - Yu Hui; Ronghu Chi; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Neural Networks Learn. Syst., 2023)

Dynamic Linearization and Extended State Observer-Based Data-Driven Adaptive Control. - Ronghu Chi; Xiaolin Guo; Na Lin 002; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Big Data-driven Predictive Control Using Multi-view Clustering. - Shuangyu Han; Yitao Yan; Jie Bao 002; Biao Huang 001 (ACC, 2024)

Suboptimal Bayesian Filters for Markov Jump Linear Systems with Unknown Noise Covariance. - Shuang Gao; Xiaoli Luan; Biao Huang 001; Shunyi Zhao; Haiying Wan; Fei Liu 001 (ICCA, 2024)

Approximating the System Behavior with Input Uncertainty Using Big Data. - Yitao Yan; Jie Bao 002; Biao Huang 001 (ICCA, 2024)

Physics-informed probabilistic slow feature analysis. - Vamsi Krishna Puli; Ranjith Chiplunkar; Biao Huang 001 (Autom., 2024)

Back-and-forth nudging moving horizon estimation for discrete-time linear systems. - Junyao Xie; Biao Huang 001 (Autom., 2024)

Fast Bayesian filtering for wastewater treatment plants with inaccurate process noise statistics. - Ke Li 034; Xiaojie Li; Xunyuan Yin; Shunyi Zhao; Biao Huang 001; Fei Liu 001 (Comput. Chem. Eng., 2024)

Detection of poor controller tuning with Gramian Angular Field (GAF) and StackAutoencoder (SAE). - Amirreza Memarian; Seshu Kumar Damarla; Alireza Memarian; Biao Huang 001 (Comput. Chem. Eng., 2024)

Digital twin and control of an industrial-scale bitumen extraction process. - Jansen Fajar Soesanto; Bart Maciszewski; Leyli Mirmontazeri; Sabrina Romero; Mike Michonski; Andrew C. Milne; Biao Huang 001 (Comput. Chem. Eng., 2024)

Moving horizon estimation for pipeline leak detection, localization, and constrained size estimation. - Junyao Xie; Biao Huang 001; Stevan Dubljevic (Comput. Chem. Eng., 2024)

Finite-time PID control for nonlinear nonaffine systems. - Zhiqing Liu; Ronghu Chi; Biao Huang 001; Zhongsheng Hou (Sci. China Inf. Sci., 2024)

Machine learning for industrial sensing and control: A survey and practical perspective. - Nathan P. Lawrence; Seshu Kumar Damarla; Jong Woo Kim; Aditya Tulsyan; Faraz Amjad; Kai Wang 024; Benoît Chachuat; Jong Min Lee 002; Biao Huang 001; R. Bhushan Gopaluni (CoRR, 2024)

Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives. - Runze Lin; Junghui Chen; Lei Xie 007; Hongye Su; Biao Huang 001 (CoRR, 2024)

An Approach to Data-Based Linear Quadratic Optimal Control. - Yitao Yan; Jie Bao 002; Biao Huang 001 (IEEE Control. Syst. Lett., 2024)

Performance-oriented design and analysis for direct data-driven control of multi-agent systems. - Ronghu Chi; Na Lin 002; Biao Huang 001; Zhongsheng Hou (Inf. Sci., 2024)

Nonlinear Slow Feature Analysis for Oscillating Characteristics Under Deep Encoder-Decoder Framework. - Vamsi Krishna Puli; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2024)

Quality-driven Gaussian mixture variational probabilistic network for soft sensor application in PET/PA6 polymerization process. - Ruimin Xie; Yuxiang Liu; Xiwen He; Nabil Magbool Jan; Huaping Wang; Kuangrong Hao; Biao Huang 001 (Comput. Chem. Eng., 2024)

Reinforcement Learning in Process Industries: Review and Perspective. - Oguzhan Dogru; Junyao Xie; Om Prakash; Ranjith Chiplunkar; Jansen Fajar Soesanto; Hongtian Chen; Kirubakaran Velswamy; Fadi Ibrahim; Biao Huang 001 (IEEE CAA J. Autom. Sinica, 2024)

Distributed Process Monitoring for Multiagent Systems Through Cognitive Learning. - Hongtian Chen; Oguzhan Dogru; Santhosh Kumar Varanasi; Xunyuan Yin; Biao Huang 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Skew Filtering for Online State Estimation and Control. - Oguzhan Dogru; Ranjith Chiplunkar; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2024)

Data-Driven Indirect Iterative Learning Control. - Ronghu Chi; Huaying Li; Na Lin 002; Biao Huang 001 (IEEE Trans. Cybern., 2024)

A Novel CVAE-Based Sequential Monte Carlo Framework for Dynamic Soft Sensor Applications. - Wenxin Sun; Weili Xiong; Hongtian Chen; Ranjith Chiplunkar; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2024)

Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives. - Hongtian Chen; Hao Luo 003; Biao Huang 001; Bin Jiang 001; Okyay Kaynak (IEEE Trans. Neural Networks Learn. Syst., 2024)

Explicit Representation and Customized Fault Isolation Framework for Learning Temporal and Spatial Dependencies in Industrial Processes. - Pengyu Song; Chunhui Zhao 001; Biao Huang 001; Jinliang Ding (IEEE Trans. Neural Networks Learn. Syst., 2024)

On Approximation of System Behavior From Large Noisy Data Using Statistical Properties of Measurement Noise. - Yitao Yan; Jie Bao 002; Biao Huang 001 (IEEE Trans. Autom. Control., 2024)

Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation. - Ke Li 034; Shunyi Zhao; Biao Huang 001; Fei Liu 001 (IEEE CAA J. Autom. Sinica, 2024)

Distributed Data-Driven Predictive Control via Dissipative Behavior Synthesis. - Yitao Yan; Jie Bao 002; Biao Huang 001 (IEEE Trans. Autom. Control., 2024)

An Unsupervised Fault Detection and Diagnosis With Distribution Dissimilarity and Lasso Penalty. - Wanke Yu; Chunhui Zhao 001; Biao Huang 001; Min Xie 001 (IEEE Trans. Control. Syst. Technol., 2024)

Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning. - Hongtian Chen; Zhigang Liu 001; Cesare Alippi; Biao Huang 001; Derong Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Sparse Robust Dynamic Feature Extraction Using Bayesian Inference. - Vamsi Krishna Puli; Ranjith Chiplunkar; Biao Huang 001 (IEEE Trans. Ind. Electron., 2024)

Guest Editorial Special Issue on Industrial Metaverse for Smart Manufacturing. - Feng Qian 004; Hong Qiao; Biao Huang 001; Yang Tang; David Bogle; Aibing Yu (IEEE Trans. Cybern., 2024)

Sampled-Data Model-Free Adaptive Control for Nonlinear Continuous-Time Systems. - Ronghu Chi; Wenzhi Cui; Na Lin 002; Zhongsheng Hou; Biao Huang 001 (IEEE Trans. Cybern., 2024)

Data-Driven Dynamic Internal Model Control. - Ronghu Chi; Huimin Zhang; Huaying Li; Biao Huang 001; Zhongsheng Hou (IEEE Trans. Cybern., 2024)

Data-Driven Finite-Iteration Learning Control. - Ronghu Chi; Zhiqing Liu; Na Lin 002; Zhongsheng Hou; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Bayesian-Based Causal Structure Inference With a Domain Knowledge Prior for Stable and Interpretable Soft Sensing. - Xiangrui Zhang; Chunyue Song; Biao Huang 001; Jun Zhao 008 (IEEE Trans. Cybern., 2024)

Double-Layered Iterative Learning Control for Nonlinear Systems. - Na Lin 002; Ronghu Chi; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Data-Driven Robust Finite-Iteration Learning Control for MIMO Nonrepetitive Uncertain Systems. - Zhiqing Liu; Ronghu Chi; Yang Liu 077; Biao Huang 001 (IEEE Trans. Cybern., 2024)

Intrinsic Causality Embedded Concurrent Quality and Process Monitoring Strategy. - Wanke Yu; Chunhui Zhao 001; Biao Huang 001; Min Xie 001 (IEEE Trans. Ind. Electron., 2024)

A deep learning framework for cyberattack detection and classification in Industrial Control Systems. - Malhar Barbhaya; Purushottama Rao Dasari; Seshu Kumar Damarla; Rajagopalan Srinivasan; Biao Huang 001 (Comput. Chem. Eng., 2025)

Point-by-point transfer learning for Bayesian optimization: An accelerated search strategy. - Negareh Mahboubi; Junyao Xie; Biao Huang 001 (Comput. Chem. Eng., 2025)

Entropy-enhanced batch sampling and conformal learning in VGAE for physics-informed causal discovery and fault diagnosis. - Mohammad Hossein Modirrousta; Alireza Memarian; Biao Huang 001 (Comput. Chem. Eng., 2025)

Real-time update of data-driven reduced and full order models with applications. - Om Prakash; Biao Huang 001 (Comput. Chem. Eng., 2025)

Zonotopic set-membership state estimation for nonlinear systems based on the deep Koopman operator. - Zhichao Pan; Siyu Liu; Biao Huang 001; Fei Liu 001 (Neurocomputing, 2025)

A novel sim2real reinforcement learning algorithm for process control. - Huiping Liang; Junyao Xie; Biao Huang 001; Yonggang Li; Bei Sun; Chunhua Yang 001 (Reliab. Eng. Syst. Saf., 2025)

Data-Driven Iterative Learning Temperature Control for Rubber Mixing Processes. - Ronghu Chi; Zhihao Zhou; Huimin Zhang; Na Lin 002; Biao Huang 001 (IEEE Trans Autom. Sci. Eng., 2025)

A Novel Chattering-Free Discrete Sliding Mode Controller With Disturbance Compensation for Zinc Roasting Temperature Distribution Control. - Huiping Liang; Bei Sun; Biao Huang 001; Yonggang Li; Chunhua Yang 001 (IEEE Trans Autom. Sci. Eng., 2025)

Sequential Image Restoration and Segmentation for Interface Detection in Primary Separation Cells. - Amir Mohseni; Yousef Salehi; Ranjith Chiplunkar; Biao Huang 001 (IEEE Trans Autom. Sci. Eng., 2025)

A Probabilistic Quality-Relevant Monitoring Method With Gaussian Mixture Model. - Wanke Yu; Chunhui Zhao 001; Biao Huang 001; Hui Yang 005 (IEEE Trans Autom. Sci. Eng., 2025)

Compensatory Data-Driven Networked Iterative Learning Control With Communication Constraints and DoS Attacks. - Huimin Zhang; Ronghu Chi; Biao Huang 001; Zhongsheng Hou (IEEE Trans Autom. Sci. Eng., 2025)

Fault-Tolerant Soft Sensor Modeling Based on a Two-Dimensional Group Distributionally Robust Optimization Framework. - Xiangrui Zhang; Chunyue Song; Jun Zhao 008; Biao Huang 001 (IEEE Trans Autom. Sci. Eng., 2025)

The Intrinsic State Variable in Fundamental Lemma and Its Use in Stability Design for Data-based Control. - Yitao Yan; Jie Bao 002; Biao Huang 001 (CoRR, 2025)

Data-Driven Internal Model Learning Control for Nonlinear Systems. - Huimin Zhang; Ronghu Chi; Biao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

From Static and Dynamic Perspectives: A Survey on Historical Data Benchmarks of Control Performance Monitoring. - Pengyu Song; Jie Wang 063; Chunhui Zhao 001; Biao Huang 001 (IEEE CAA J. Autom. Sinica, 2025)

Factor Graph Optimization for Flexibly Modeled INS/GPS Navigation in Graphical State-Space. - Zheng Zhou; Shunyi Zhao; Chengxi Zhang; Jin Wu 002; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2025)

Addressing Heterogeneous Time-Frequency Causality: Source Consistency Exploring for Industrial Root Cause Alignment and Diagnosis. - Pengyu Song; Chunhui Zhao 001; Biao Huang 001 (IEEE Trans. Cybern., 2025)

A Robust Probabilistic Quality-Relevant Monitoring Model With Laplace Distribution. - Wanke Yu; Biao Huang 001; Gaoxi Xiao (IEEE Trans. Ind. Informatics, 2025)

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning. - Runze Lin; Junghui Chen; Biao Huang 001; Lei Xie 007; Hongye Su (CoRR, 2025)

Big Data-Driven Control of Nonlinear Processes Through Dynamic Latent Variables Using an Autoencoder. - Jun Wen Tang; Yitao Yan; Jie Bao 002; Biao Huang 001 (IEEE Trans. Cybern., 2025)

A Variational Bayesian Inference-Based Robust Dissimilarity Analytics Model for Industrial Fault Detection. - Wanke Yu; Biao Huang 001; Gaoxi Xiao; Chuan-Ke Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Explainable Fault Diagnosis Using Invertible Neural Networks - A Left Manifold-Based Solution. - Hongtian Chen; Wenxin Sun; Weidong Zhang 004; Bin Jiang 001; Steven X. Ding; Biao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

M2D-VAE: Self-Supervised Probabilistic Temporal-Spatial Latent Representation Learning for Unsupervised Industrial Operational Applications Under Missing Value Interference. - Qingyang Dai; Chunhui Zhao 001; Biao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Causality-Informed Data-Driven Predictive Control. - Malika Sader; Yibo Wang; Dexian Huang; Chao Shang 002; Biao Huang 001 (IEEE Trans. Control. Syst. Technol., 2025)