Biao Huang

According to our database1, Biao Huang authored at least 201 papers between 1997 and 2021.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2018, "For contributions to and application of Bayesian soft-sensing for control performance monitoring".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
Forward-Backward Smoothers With Finite Impulse Response Structure.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Extended State Observer-Based Data-Driven Iterative Learning Control for Permanent Magnet Linear Motor With Initial Shifts and Disturbances.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Dual Neural Extended Kalman Filtering Approach for Multirate Sensor Data Fusion.
IEEE Trans. Instrum. Meas., 2021

Data-Driven Fault Detection for Dynamic Systems With Performance Degradation: A Unified Transfer Learning Framework.
IEEE Trans. Instrum. Meas., 2021

Kalman Filter-Based Convolutional Neural Network for Robust Tracking of Froth-Middling Interface in a Primary Separation Vessel in Presence of Occlusions.
IEEE Trans. Instrum. Meas., 2021

Identification of Two-Dimensional Causal Systems With Missing Output Data via Expectation-Maximization Algorithm.
IEEE Trans. Ind. Informatics, 2021

Hidden Markov Model-Based Attack Detection for Networked Control Systems Subject to Random Packet Dropouts.
IEEE Trans. Ind. Electron., 2021

Stationary Subspace Analysis-Based Hierarchical Model for Batch Processes Monitoring.
IEEE Trans. Control. Syst. Technol., 2021

A Variational Bayesian Causal Analysis Approach for Time-Varying Systems.
IEEE Trans. Control. Syst. Technol., 2021

Soft sensor based on eXtreme gradient boosting and bidirectional converted gates long short-term memory self-attention network.
Neurocomputing, 2021

Behavioural Approach to Distributed Control of Interconnected Systems.
CoRR, 2021

A just-in-time modeling approach for multimode soft sensor based on Gaussian mixture variational autoencoder.
Comput. Chem. Eng., 2021

2020
Iterative Identification of Hammerstein Parameter Varying Systems With Parameter Uncertainties Based on the Variational Bayesian Approach.
IEEE Trans. Syst. Man Cybern. Syst., 2020

3-D Learning-Enhanced Adaptive ILC for Iteration-Varying Formation Tasks.
IEEE Trans. Neural Networks Learn. Syst., 2020

Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy.
IEEE Trans. Ind. Informatics, 2020

Supervised Variational Autoencoders for Soft Sensor Modeling With Missing Data.
IEEE Trans. Ind. Informatics, 2020

Data-Driven Modeling Based on Two-Stream ${\rm{\lambda }}$ Gated Recurrent Unit Network With Soft Sensor Application.
IEEE Trans. Ind. Electron., 2020

Real-Time Mode Diagnosis for Processes With Multiple Operating Conditions Using Switching Conditional Random Fields.
IEEE Trans. Ind. Electron., 2020

Discrete-Time Extended State Observer-Based Model-Free Adaptive Control Via Local Dynamic Linearization.
IEEE Trans. Ind. Electron., 2020

Adjacent-Agent Dynamic Linearization-Based Iterative Learning Formation Control.
IEEE Trans. Cybern., 2020

Detecting the Direction of Information Flow in Instantaneous Relations Between Variables.
IEEE Trans. Control. Syst. Technol., 2020

Deep Discriminative Representation Learning for Nonlinear Process Fault Detection.
IEEE Trans Autom. Sci. Eng., 2020

Global convergence of the EM algorithm for ARX models with uncertain communication channels.
Syst. Control. Lett., 2020

Oil sands extraction plant debottlenecking: an optimization approach.
Optim. Lett., 2020

Data-driven nonlinear ILC with varying trial lengths.
J. Frankl. Inst., 2020

Distributed iterative learning temperature control for multi-zone HVAC system.
J. Frankl. Inst., 2020

Multiple step ahead prediction based high order discrete-time sliding mode control design with actuator and communication delays.
J. Frankl. Inst., 2020

A consensus-based approach for parameter and state estimation of agro-hydrological system.
CoRR, 2020

A hierarchical constrained reinforcement learning for optimization of bitumen recovery rate in a primary separation vessel.
Comput. Chem. Eng., 2020

Data analytics approach for online produced fluid flow rate estimation in SAGD process.
Comput. Chem. Eng., 2020

A review On reinforcement learning: Introduction and applications in industrial process control.
Comput. Chem. Eng., 2020

Hybrid kernel approach to Gaussian process modeling with colored noises.
Comput. Chem. Eng., 2020

Extracting nonstationary features for process data analytics and application in fouling detection.
Comput. Chem. Eng., 2020

Trial-and-error or avoiding a guess? Initialization of the Kalman filter.
Autom., 2020

Contour-based Medical Image Fusion for Biopsy.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2019
An Improved Data-Driven Point-to-Point ILC Using Additional On-Line Control Inputs With Experimental Verification.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Multivariate Gaussian process regression for nonlinear modelling with colored noise.
Trans. Inst. Meas. Control, 2019

Robust FIR State Estimation of Dynamic Processes Corrupted by Outliers.
IEEE Trans. Ind. Informatics, 2019

Simultaneous Static and Dynamic Analysis for Fine-Scale Identification of Process Operation Statuses.
IEEE Trans. Ind. Informatics, 2019

Feature Extraction of Constrained Dynamic Latent Variables.
IEEE Trans. Ind. Informatics, 2019

Probabilistic Monitoring of Sensors in State-Space With Variational Bayesian Inference.
IEEE Trans. Ind. Electron., 2019

Variational Bayesian Approach for Causality and Contemporaneous Correlation Features Inference in Industrial Process Data.
IEEE Trans. Cybern., 2019

Mixtures of Probabilistic PCA With Common Structure Latent Bases for Process Monitoring.
IEEE Trans. Control. Syst. Technol., 2019

Neighborhood Variational Bayesian Multivariate Analysis for Distributed Process Monitoring With Missing Data.
IEEE Trans. Control. Syst. Technol., 2019

Multiple-Model State Estimation Based on Variational Bayesian Inference.
IEEE Trans. Autom. Control., 2019

Iterative dynamic linearization and identification of a nonlinear learning controller: A data-driven approach.
J. Frankl. Inst., 2019

Multi-lagged-input iterative dynamic linearization based data-driven adaptive iterative learning control.
J. Frankl. Inst., 2019

Computer vision system for froth-middlings interface level detection in the primary separation vessels.
Comput. Chem. Eng., 2019

Dynamic prediction of interface level using spatial temporal markov random field.
Comput. Chem. Eng., 2019

Data rectification for multiple operating modes: A MAP framework.
Comput. Chem. Eng., 2019

SEQdata-BEACON: a comprehensive database of sequencing performance and statistical tools for performance evaluation and yield simulation in BGISEQ-500.
BioData Min., 2019

Linear Time-Varying Data Model-Based Iterative Learning Recursive Least Squares Identifications for Repetitive Systems.
IEEE Access, 2019

Dissipativity Analysis for Linear Systems in the Behavioural Framework.
Proceedings of the 2019 Australian & New Zealand Control Conference (ANZCC), 2019

2018
Control Performance Assessment for ILC-Controlled Batch Processes in a 2-D System Framework.
IEEE Trans. Syst. Man Cybern. Syst., 2018

An Augmented Model Approach for Identification of Nonlinear Errors-in-Variables Systems Using the EM Algorithm.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Computationally Efficient Data-Driven Higher Order Optimal Iterative Learning Control.
IEEE Trans. Neural Networks Learn. Syst., 2018

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE.
IEEE Trans. Ind. Informatics, 2018

Triggered Communication in Distributed Adaptive High-Gain EKF.
IEEE Trans. Ind. Informatics, 2018

Recursive Slow Feature Analysis for Adaptive Monitoring of Industrial Processes.
IEEE Trans. Ind. Electron., 2018

Robust Estimation of ARX Models With Time Varying Time Delays Using Variational Bayesian Approach.
IEEE Trans. Cybern., 2018

Localization of Indoor Mobile Robot Using Minimum Variance Unbiased FIR Filter.
IEEE Trans Autom. Sci. Eng., 2018

A switching strategy for adaptive state estimation.
Signal Process., 2018

Expectation maximization estimation for a class of input nonlinear state space systems by using the Kalman smoother.
Signal Process., 2018

Distributed dynamic modeling and monitoring for large-scale industrial processes under closed-loop control.
CoRR, 2018

A novel approach to process operating mode diagnosis using conditional random fields in the presence of missing data.
Comput. Chem. Eng., 2018

Process monitoring using a generalized probabilistic linear latent variable model.
Autom., 2018

Higher order moment stability region for Markov jump systems based on cumulant generating function.
Autom., 2018

Variational Bayesian approach for ARX systems with missing observations and varying time-delays.
Autom., 2018

Stock Prediction based on Bayesian-LSTM.
Proceedings of the 10th International Conference on Machine Learning and Computing, 2018

Constrained Extended Kalman Filter based on Kullback-Leibler (KL) Divergence.
Proceedings of the 16th European Control Conference, 2018

Switching Conditional Random Field Approach to Process Operating Mode Diagnosis for Multi-Modal Processes.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Variational Bayesian Approach to Modelling with Random Time-varying Time Delays.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
State Estimation and Fusion in the Presence of Integrated Measurement.
IEEE Trans. Instrum. Meas., 2017

Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR.
IEEE Trans. Ind. Informatics, 2017

Robust Identification of Nonlinear Errors-in-Variables Systems With Parameter Uncertainties Using Variational Bayesian Approach.
IEEE Trans. Ind. Informatics, 2017

A Data-Driven Hybrid ARX and Markov Chain Modeling Approach to Process Identification With Time-Varying Time Delays.
IEEE Trans. Ind. Electron., 2017

Bayesian Learning for Dynamic Feature Extraction With Application in Soft Sensing.
IEEE Trans. Ind. Electron., 2017

A Data-Based Augmented Model Identification Method for Linear Errors-in-Variables Systems Based on EM Algorithm.
IEEE Trans. Ind. Electron., 2017

Detection and Diagnosis of Multiple Faults With Uncertain Modeling Parameters.
IEEE Trans. Control. Syst. Technol., 2017

A Probabilistic Just-in-Time Learning Framework for Soft Sensor Development With Missing Data.
IEEE Trans. Control. Syst. Technol., 2017

Interaction Analysis of Multivariate Control Systems Under Bayesian Framework.
IEEE Trans. Control. Syst. Technol., 2017

Iteration Tuning of Disturbance Observer-Based Control System Satisfying Robustness Index for FOPTD Processes.
IEEE Trans. Control. Syst. Technol., 2017

Control Design for Disturbance Rejection in the Presence of Uncertain Delays.
IEEE Trans Autom. Sci. Eng., 2017

Linear Optimal Unbiased Filter for Time-Variant Systems Without Apriori Information on Initial Conditions.
IEEE Trans. Autom. Control., 2017

Iterative Residual Generator for Fault Detection With Linear Time-Invariant State-Space Models.
IEEE Trans. Autom. Control., 2017

Robust optimization approximation for joint chance constrained optimization problem.
J. Glob. Optim., 2017

Parameter-based conditions for closed-loop system identifiability of ARX models with routine operating data.
J. Frankl. Inst., 2017

Reliable H∞ control for nonlinear discrete-time systems with multiple intermittent faults in sensors or actuators.
Int. J. Syst. Sci., 2017

Mixture semisupervised probabilistic principal component regression model with missing inputs.
Comput. Chem. Eng., 2017

Bayesian state estimation on finite horizons: The case of linear state-space model.
Autom., 2017

Data Mining and Analytics in the Process Industry: The Role of Machine Learning.
IEEE Access, 2017

Identification of nonlinear errors-in-variables systems in state-space form: A linear parameter varying approach.
Proceedings of the 11th Asian Control Conference, 2017

Simultaneous estimation of sub-model number and parameters for mixture probability principal component regression.
Proceedings of the 11th Asian Control Conference, 2017

2016
Robust Diagnosis of Operating Mode Based on Time-Varying Hidden Markov Models.
IEEE Trans. Ind. Electron., 2016

Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference.
IEEE Trans. Ind. Electron., 2016

Bayesian Fault Diagnosis With Asynchronous Measurements and Its Application in Networked Distributed Monitoring.
IEEE Trans. Ind. Electron., 2016

A Variational Bayesian Approach to Robust Identification of Switched ARX Models.
IEEE Trans. Cybern., 2016

An Immune System-Inspired Reconfigurable Controller.
IEEE Trans. Control. Syst. Technol., 2016

A direct maximum likelihood optimization approach to identification of LPV time-delay systems.
J. Frankl. Inst., 2016

Predicting GHS toxicity using RTCA and discrete-time Fourier transform.
J. Bioinform. Comput. Biol., 2016

Dynamic higher-order cumulants analysis for state monitoring based on a novel lag selection.
Inf. Sci., 2016

Robust optimization under correlated uncertainty: Formulations and computational study.
Comput. Chem. Eng., 2016

JITL based MWGPR soft sensor for multi-mode process with dual-updating strategy.
Comput. Chem. Eng., 2016

Robust probabilistic principal component analysis for process modeling subject to scaled mixture Gaussian noise.
Comput. Chem. Eng., 2016

GMM and optimal principal components-based Bayesian method for multimode fault diagnosis.
Comput. Chem. Eng., 2016

Identification of linear dynamic errors-in-variables systems with a dynamic uncertain input using the EM algorithm.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Fault Detection and Diagnosis of Multiple-Model Systems With Mismodeled Transition Probabilities.
IEEE Trans. Ind. Electron., 2015

Expectation-Maximization Approach to Fault Diagnosis With Missing Data.
IEEE Trans. Ind. Electron., 2015

Bayesian Control Loop Diagnosis by Combining Historical Data and Process Knowledge of Fault Signatures.
IEEE Trans. Ind. Electron., 2015

Diagnosis of Oscillations Between Controller Tuning and Harmonic External Disturbances.
IEEE Trans. Control. Syst. Technol., 2015

Detecting and isolating abrupt changes in linear switching systems.
Int. J. Control, 2015

A unified data-driven design framework of optimality-based generalized iterative learning control.
Comput. Chem. Eng., 2015

Minimum variance unbiased FIR filter for discrete time-variant systems.
Autom., 2015

State estimation incorporating infrequent, delayed and integral measurements.
Autom., 2015

State feedback output regulation for a class of hyperbolic PDE systems.
Proceedings of the 14th European Control Conference, 2015

Constrained optimal boundary state estimation for dissipative systems.
Proceedings of the American Control Conference, 2015

Explicit/multi-parametric model predictive control of dissipative distributed parameter systems.
Proceedings of the American Control Conference, 2015

2014
Adaptive monitoring of the process operation based on symbolic episode representation and hidden Markov models with application toward an oil sand primary separation.
Comput. Chem. Eng., 2014

Recursive constrained state estimation using modified extended Kalman filter.
Comput. Chem. Eng., 2014

Expectation Maximization method for multivariate change point detection in presence of unknown and changing covariance.
Comput. Chem. Eng., 2014

Bayesian and Expectation Maximization methods for multivariate change point detection.
Comput. Chem. Eng., 2014

Mode of action classification of chemicals using multi-concentration time-dependent cellular response profiles.
Comput. Biol. Chem., 2014

Weighted distortion-to-signal ratio based PTS scheme in nonlinear distorted OFDM systems.
Proceedings of the 2014 IEEE/CIC International Conference on Communications in China, 2014

A variational Bayesian approach to identification of switched ARX models.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Diagnosis between sinusoidal oscillations and oscillatory colored noise.
Proceedings of the American Control Conference, 2014

2013
A Particle Filter Approach to Approximate Posterior Cramer-Rao Lower Bound: The Case of Hidden States.
IEEE Trans. Aerosp. Electron. Syst., 2013

Model Predictive Control: Algorithmic Development and Applications.
Int. J. Control, 2013

A moving horizon approach to a noncontinuum state estimation.
Int. J. Control, 2013

Parameter estimation in batch process using EM algorithm with particle filter.
Comput. Chem. Eng., 2013

Bayesian method for state estimation of batch process with missing data.
Comput. Chem. Eng., 2013

Data quality assessment of routine operating data for process identification.
Comput. Chem. Eng., 2013

In vitro cytotoxicity assessment based on KC<sub>50</sub> with real-time cell analyzer (RTCA) assay.
Comput. Biol. Chem., 2013

Moving horizon estimation for switching nonlinear systems.
Autom., 2013

Bias-based self-organized cell selections for outdoor open-access picocell networks.
Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

Ellipsoidal set based robust particle filtering for recursive Bayesian state estimation.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

Expectation maximization approach to gross error and change point detection.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

Parameter estimation for a dual rate system with time delay.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

Data-driven diagnosis with ambiguous hypotheses in historical data: A generalized Dempter-Shafer approach.
Proceedings of the 16th International Conference on Information Fusion, 2013

2012
Identification of switched Markov autoregressive eXogenous systems with hidden switching state.
Autom., 2012

A particle filter based on a constrained sampling method for state estimation.
Proceedings of the 15th International Conference on Information Fusion, 2012

Kalman filtering approach to multirate information fusion for soft sensor development.
Proceedings of the 15th International Conference on Information Fusion, 2012

Matrix-wise approach for identification of multi-mode Switched ARX models with noise.
Proceedings of the American Control Conference, 2012

Bayesian methods for process identification with outliers.
Proceedings of the American Control Conference, 2012

2011
Control Performance Assessment Subject to Multi-Objective User-Specified Performance Characteristics.
IEEE Trans. Control. Syst. Technol., 2011

Spectral clustering with density sensitive similarity function.
Knowl. Based Syst., 2011

Dynamic output feedback robust model predictive control.
Int. J. Syst. Sci., 2011

Finding key knowledge attribute subspace of outliers in high-dimensional dataset.
Expert Syst. Appl., 2011

Reconciling continuum and non-continuum data with industrial application.
Comput. Chem. Eng., 2011

Data-based modeling and prediction of cytotoxicity induced by contaminants in water resources.
Comput. Biol. Chem., 2011

Closed-loop identification condition for ARMAX models using routine operating data.
Autom., 2011

Bayesian methods for control loop diagnosis in the presence of temporal dependent evidences.
Autom., 2011

2010
Estimation and control of solid oxide fuel cell system.
Comput. Chem. Eng., 2010

Performance assessment of advanced supervisory-regulatory control systems with subspace LQG benchmark.
Autom., 2010

2009
<i>H</i><sub>∞</sub> structured model reduction algorithms for linear discrete systems via LMI-based optimisation.
Int. J. Syst. Sci., 2009

Identification of Hammerstein systems without explicit parameterisation of non-linearity.
Int. J. Control, 2009

Implementation of FIR control for <i>H</i><sub>∞</sub> output feedback stabilisation of linear systems.
Int. J. Control, 2009

Identifiability and estimability study for a dynamic solid oxide fuel cell model.
Comput. Chem. Eng., 2009

Assessment of control system performance with LTV disturbance dynamics: SISO case.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

A control performance benchmark subject to output variance/covariance upper bound and pole placement constraint.
Proceedings of the American Control Conference, 2009

Implementation of FIR control for H∞ output feedback stabilization of linear systems.
Proceedings of the American Control Conference, 2009

2008
Reformulation of LMI-based stabilisation conditions for non-linear systems in Takagi-Sugeno's form.
Int. J. Syst. Sci., 2008

Performance assessment of MIMO control systems with time-variant disturbance dynamics.
Comput. Chem. Eng., 2008

Robust H<sub>2</sub> optimal filtering for continuous-time stochastic systems with polytopic parameter uncertainty.
Autom., 2008

QoS Routing Protocol Based on Link Stability with Dynamic Delay Prediction in MANET.
Proceedings of the PACIIA 2008, 2008

Density Based Outlier Mining Algorithm with Application to Intrusion Detection.
Proceedings of the PACIIA 2008, 2008

An Outlier Detection Algorithm Based on Spectral Clustering.
Proceedings of the PACIIA 2008, 2008

Multi-path Routing Protocol for Mobile Ad Hoc Network.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

A Spectral Clustering Algorithm Based on Normalized Cuts.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

LQG benchmarking for economic control performance.
Proceedings of the American Control Conference, 2008

Data-driven Bayesian approach for control loop diagnosis.
Proceedings of the American Control Conference, 2008

2007
Multirate Minimum Variance Control Design and Control Performance Assessment: A Data-Driven Subspace Approach.
IEEE Trans. Control. Syst. Technol., 2007

Erratum to "Comments on 'A Feedback Min-Max MPC Algortihm for LPV Systems Subject to Bounded Rates of Change of Parameters'".
IEEE Trans. Autom. Control., 2007

Comments on "A Feedback Min-Max MPC Algorithm for LPV Systems Subject to Bounded Rates of Change of Parameters.
IEEE Trans. Autom. Control., 2007

New formulation of robust MPC by incorporating off-line approach with on-line optimization.
Int. J. Syst. Sci., 2007

A blind approach to closed-loop identification of Hammerstein systems.
Int. J. Control, 2007

Constrained robust model predictive control for time-delay systems with polytopic description.
Int. J. Control, 2007

Closed-loop model validation based on the two-model divergence method.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Blind Hammerstein Identification for MR Damper Modeling.
Proceedings of the American Control Conference, 2007

2006
Cyclo-period estimation for discrete-time cyclo-stationary signals.
IEEE Trans. Signal Process., 2006

Model Reduction of Uncertain Systems with Multiplicative Noise Based on Balancing.
SIAM J. Control. Optim., 2006

Intelligent Process Trend Recognition Fault Diagnosis and Industrial Application.
Proceedings of the Computational Intelligence, 2006

2005
On spectral theory of cyclostationary signals in multirate systems.
IEEE Trans. Signal Process., 2005

Multirate Robust Digital Control for Fuzzy Systems With Periodic Lyapunov Function.
IEEE Trans. Fuzzy Syst., 2005

A New Method for Stabilization of Networked Control Systems With Random Delays.
IEEE Trans. Autom. Control., 2005

Fixed-order Controller Design for Linear Time-invariant Descriptor Systems: a Bmi Approach.
Int. J. Syst. Sci., 2005

Delay-dependent robust guaranteed cost control of an uncertain linear system with state and input delay.
Int. J. Syst. Sci., 2005

Dynamic Modeling, Prediction and Analysis of Cytotoxicity on Microelectronic Sensors.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004
Robust model predictive control of singular systems.
IEEE Trans. Autom. Control., 2004

Robust digital model predictive control for linear uncertain systems with saturations.
IEEE Trans. Autom. Control., 2004

2003
H<sub>∞</sub> model reduction of Markovian jump linear systems.
Syst. Control. Lett., 2003

2002
Robust performance assessment of feedback control systems.
Autom., 2002

2001
Sampled-data filtering with error covariance assignment.
IEEE Trans. Signal Process., 2001

Detection of abrupt changes of total least squares models and application in fault detection.
IEEE Trans. Control. Syst. Technol., 2001

Robust reliable control for a class of uncertain nonlinear systems with time-varying multistate time delays.
Int. J. Syst. Sci., 2001

LMI-based robust H<sup>infinity</sup> control of uncertain linear jump systems with time-delays.
Autom., 2001

2000
Robust H<sub>2</sub>/H<sub>∞</sub> filtering for linear systems with error variance constraints.
IEEE Trans. Signal Process., 2000

Feedforward plus feedback controller performance assessment of MIMO systems.
IEEE Trans. Control. Syst. Technol., 2000

Gap metric on the subgraphs of systems and the robustness problem.
IEEE Trans. Autom. Control., 2000

1999
Robust <i>H</i><sub>infinity</sub> observer design of linear state delayed systems with parametric uncertainty: the discrete-time case.
Autom., 1999

Robust reliable control for a class of uncertain nonlinear state-delayed systems.
Autom., 1999

1997
Good, bad or optimal? Performance assessment of multivariable processes.
Autom., 1997


  Loading...