Identification of integrating and unstable processes from relay feedback. - Tao Liu 002; Furong Gao (Comput. Chem. Eng., 2008)

Robust Step-Like Identification of Low-Order Process Model Under Nonzero Initial Conditions and Disturbance. - Tao Liu 002; Furong Gao (IEEE Trans. Autom. Control., 2008)

Identification of low-order process model with time delay from closed-loop step test. - Tao Liu 002; Furong Gao; Chunhui Zhao 001 (CDC, 2009)

Improved independent component regression modeling. - Chunhui Zhao 001; Furong Gao; Tao Liu 002; Fuli Wang (CDC, 2009)

A generalized relay identification method for time delay and non-minimum phase processes. - Tao Liu 002; Furong Gao (Autom., 2009)

Identification and Autotuning of Temperature-Control System With Application to Injection Molding. - Tao Liu 002; Ke Yao; Furong Gao (IEEE Trans. Control. Syst. Technol., 2009)

Flexible Closed-Loop Iterative Learning Control for Industrial Batch Processes with State Delay and Time-Varying Uncertainties. - Tao Liu 002 (ROCOND, 2012)

A synthetic approach for robust constrained iterative learning control of piecewise affine batch processes. - Tao Liu 002; Youqing Wang (Autom., 2012)

EM-based identification of continuous-time ARMA Models from irregularly sampled data. - Fengwei Chen; Juan C. Agüero; Marion Gilson; Hugues Garnier; Tao Liu 002 (Autom., 2017)

Robust time-domain output error method for identifying continuous-time systems with time delay. - Fengwei Chen; Marion Gilson; Hugues Garnier; Tao Liu 002 (Syst. Control. Lett., 2017)

Identification of Discrete-Time Output Error Model Using Filtered Input Excitation for Integrating Processes With Time Delay. - Tao Liu 002; Shijian Dong; Fengwei Chen; Dewei Li 001 (IEEE Trans. Autom. Control., 2017)

Identification of Discrete-Time Model With Integer Delay and Control Design for Cooling Processes With Application to Jacketed Crystallizers. - Tao Liu 002; Shijian Dong; Shili Rong; Chongquan Zhong (IEEE Trans. Control. Syst. Technol., 2017)

Recursive subspace identification subject to relatively slow time-varying load disturbance. - Jie Hou; Tao Liu 002; Qing-Guo Wang (Int. J. Control, 2018)

New Predictor and 2DOF Control Scheme for Industrial Processes With Long Time Delay. - Tao Liu 002; Pedro García 001; Yueling Chen; Xuhui Ren; Pedro Albertos; Ricardo Sanz (IEEE Trans. Ind. Electron., 2018)

Attenuation on non-repetitive disturbances in robust iterative learning control schemes designed over repetitive setting. - Wojciech Paszke; Shoulin Hao; Tao Liu 002 (ECC, 2019)

Anti-windup design for discrete-time systems with time delay via predictor-based extended state observer. - Xinpeng Geng; Shoulin Hao; Tao Liu 002; Qing-Guo Wang (ICCA, 2019)

Predictor-Based Disturbance Rejection Control for Sampled Systems With Input Delay. - Tao Liu 002; Shoulin Hao; Dewei Li 001; Wen-Hua Chen 001; Qing-Guo Wang (IEEE Trans. Control. Syst. Technol., 2019)

Extended state observer based indirect-type ILC for single-input single-output batch processes with time- and batch-varying uncertainties. - Shoulin Hao; Tao Liu 002; Eric Rogers (Autom., 2020)

Synthesis of ILC-MPC Controller With Data-Driven Approach for Constrained Batch Processes. - Dewei Li 001; Shaoying He; Yugeng Xi 001; Tao Liu 002; Furong Gao; Youqing Wang; Jingyi Lu (IEEE Trans. Ind. Electron., 2020)

Novel controller design procedure for output based ILC update laws applied to discrete-time polytopic systems. - Robert Maniarski; Wojciech Paszke; Shoulin Hao; Tao Liu 002; Eric Rogers (CDC, 2021)

Subspace identification of Hammerstein-type nonlinear systems subject to unknown periodic disturbance. - Jie Hou; Tao Liu 002; Qing-Guo Wang (Int. J. Control, 2021)

Reinforced adaptive parameter estimation with prescribed transient convergence performance. - Jing Na; Yingbo Huang; Tao Liu 002; Quanmin Zhu (Syst. Control. Lett., 2021)

Semi-Supervised Learning-Based Calibration Model Building of NIR Spectroscopy for In Situ Measurement of Biochemical Processes Under Insufficiently and Inaccurately Labeled Samples. - Guoqing Mu; Tao Liu 002; Chuang Xue; Junghui Chen (IEEE Trans. Instrum. Meas., 2021)

A generalized control scheme for system uncertainty estimation and cancellation. - Qing-Guo Wang; Tao Liu 002; Zhuo-Yun Nie; Shoulin Hao; Xuhui Ren; Dan Zhang 001; Lei Wang 055 (Trans. Inst. Meas. Control, 2021)

ESO-Based Data-Driven Iterative Learning Control With RBFNN for Nonlinear Batch Processes. - Naseem Ahmad; Shoulin Hao; Tao Liu 002 (ASCC, 2022)

Variational PLS-Based Calibration Model Building With Semi-Supervised Learning for Moisture Measurement During Fluidized Bed Drying by NIR Spectroscopy. - Guoqing Mu; Tao Liu 002; Junghui Chen; Chao Shang 002; Chongquan Zhong (IEEE Trans. Instrum. Meas., 2022)

Integrated Modeling and Adaptive Parameter Estimation for Hammerstein Systems With Asymmetric Dead-Zone. - Haoran He; Jing Na; Yingbo Huang; Tao Liu 002 (IEEE Trans. Ind. Electron., 2023)

In Situ Measurement of 2-D Crystal Size Distribution During Cooling Crystallization Process via a Binocular Telecentric Imaging System. - Ji Fan; Tao Liu 002; Yan Huo; Yonghong Tan 001; Junghui Chen (IEEE Trans. Instrum. Meas., 2023)

Deep Learning-Based Binocular Image Analysis for In Situ Measurement of Particle Length Distribution During Crystallization Process. - Ji Fan; Tao Liu 002; Yongcan Shuang; Bo Song; Junghui Chen; Yonghong Tan 001 (IEEE Trans. Instrum. Meas., 2023)

Just-In-Time Learning Based Functional Spectral Data Modeling for In-Situ Measurement of Slurry Component Concentrations via Infrared Spectroscopy. - Jingxiang Liu; Tao Liu 002; Guoqing Mu; Chao Shang 002 (IEEE Trans. Instrum. Meas., 2023)

Efficient Relay Autotuner of Industrial Controllers via Rank-Constrained Identification of Low-Order Time-Delay Models. - Qingyuan Liu; Chao Shang 002; Tao Liu 002; Dexian Huang (IEEE Trans. Control. Syst. Technol., 2023)

Q-Learning Based Parameter Tuning for Model-Free Adaptive Control of Nonlinear Systems. - Liuyong Xu; Shoulin Hao; Tao Liu 002; Yong Zhu; Haixia Wang; Jiyan Zhang (ASCC, 2024)

Data-Driven Anti-Disturbance Control with High-Order Extended State Observer for Unknown Nonlinear Systems. - Shuhao Yue; Shoulin Hao; Tao Liu 002; Haichen Yu; Jiyan Zhang; Haixia Wang (ASCC, 2024)

Predictive State Observer-Based Set-Point Learning Control for Batch Manufacturing Processes With Delay Response. - Tao Liu 002; Shoulin Hao; Youqing Wang; Jing Na (IEEE Trans. Ind. Electron., 2024)

In Situ Calibration of Binocular Vision System for 3-D Measurement of Particle Size During Crystallization. - Yongcan Shuang; Ji Fan; Tao Liu 002; Yonghong Tan 001 (IEEE Trans. Instrum. Meas., 2024)

Design-of-experiments based modeling & optimization of LGA cooling crystallization via continuous oscillatory baffled crystallizer. - Mingyan Zhao; Tao Liu 002; Bo Song; Jianping Fan 002; Xiongwei Ni; Rolf Findeisen (Comput. Chem. Eng., 2025)

Noninvasive Stereoscopic Backlight Imaging Design for In Situ Measurement of Particle Size Distribution During Continuous Crystallization via COBC. - Ji Fan; Tao Liu 002; Yongcan Shuang; Mingyan Zhao; Haibo Niu; Junghui Chen; Yonghong Tan 001 (IEEE Trans. Instrum. Meas., 2025)

Semi-Supervised Calibration Modeling of Near-Infrared Spectroscopy via Just-In-Time Learning With Data Augmentation for In-Situ Measurement of Multiple Component Contents During the Fermentation Process. - Tao Liu 002; Qin Zhang; Donghui Xu; Qi Zhang; Hongbin Zhang (IEEE Trans. Instrum. Meas., 2025)

In Situ Measurement of Rod-Like Crystal Size and Surface Area During Crystallization via Virtual Stereo Imaging. - Yongcan Shuang; Tao Liu 002; Ji Fan; Bo Song; Yonghong Tan 001; Qi Zhang; Hongbin Zhang (IEEE Trans. Instrum. Meas., 2025)

Near-Infrared Spectrum Calibration by Deep Dictionary Learning Regression With Data Augmentation for In-Situ Moisture Measurement of Fluidized Bed Drying Process. - Qin Zhang; Tao Liu 002; Junghui Chen; Jingxiang Liu; Qi Zhang; Hongbin Zhang (IEEE Trans. Instrum. Meas., 2025)

PI-Based Set-Point Learning Control for Batch Processes With Unknown Dynamics and Nonrepetitive Uncertainties. - Shoulin Hao; Tao Liu 002; Eric Rogers; Youqing Wang; Wojciech Paszke (IEEE Trans. Autom. Control., 2025)