Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes

1. Front Matter

   Pages i-x

   PDF

2. Introduction

   • Limin Wang, Ridong Zhang, Furong Gao

   Pages 1-17

3. Iterative Learning Control of Linear Batch Processes

   • Limin Wang, Ridong Zhang, Furong Gao

   Pages 19-64

4. Iterative Learning Control of Nonlinear Batch Processes

   • Limin Wang, Ridong Zhang, Furong Gao

   Pages 65-95

5. Iterative Learning Control of Multi-phase Batch Processes

   • Limin Wang, Ridong Zhang, Furong Gao

   Pages 97-129

6. Iterative Learning Optimal Guaranteed Cost Control of Batch Processes

   • Limin Wang, Ridong Zhang, Furong Gao

   Pages 131-188

7. Iterative Learning Predictive Control for Batch Processes

   • Limin Wang, Ridong Zhang, Furong Gao

   Pages 189-214

8. Iterative Learning Fault-Tolerant Control of Linear Batch Processes

   • Limin Wang, Ridong Zhang, Furong Gao

   Pages 215-239

9. Iterative Learning Fault-Tolerant Control of Nonlinear Batch Processes

   • Limin Wang, Ridong Zhang, Furong Gao

   Pages 241-268

10. Iterative Learning Fault-Tolerant Control of Multi-phase Batch Processes

    • Limin Wang, Ridong Zhang, Furong Gao

    Pages 269-303

11. Further Ideas on Constrained Infinite Horizon Fault-Tolerant Control of Batch Processes

    • Limin Wang, Ridong Zhang, Furong Gao

    Pages 305-323

This book is based on the authors’ research on the stabilization and fault-tolerant control of batch processes, which are flourishing topics in the field of control system engineering. It introduces iterative learning control for linear/nonlinear single/multi-phase batch processes; iterative learning optimal guaranteed cost control; delay-dependent iterative learning control; and iterative learning fault-tolerant control for linear/nonlinear single/multi-phase batch processes. Providing important insights and useful methods and practical algorithms that can potentially be applied in batch process control and optimization, it is a valuable resource for researchers, scientists, and engineers in the field of process system engineering and control engineering.

• Batch Processes
• Iterative Learning Stabilization
• Fault-tolerant Control
• 2D T-S Fuzzy Model Control
• Time-varying Delays
• Average-dwell-time methods
• Two-dimensional control
• Batch process optimization

“The book is a useful and timely treatise of carefully selected topics of batch control. It could serve well as a useful reference material for the control engineering community.” (Witold Pedrycz, zbMATH 1428.93006, 2020)

• College of Mathematics and Statistics, Hainan Normal University , Haikou, China

  Limin Wang

• Hangzhou Dianzi University, Hangzhou, China

  Ridong Zhang

• Department of Chemical and Biomolecular Engineering, Hong Kong University of Science and Tech , Hongkong, China

  Furong Gao

Limin Wang is currently a professor at the School of Mathematics and Statistics, Hainan Normal University. She is a member of the Fault Diagnosis and Safety Professional Committee of the China Association of Automation. She received her Ph.D. degree in Operations Research and Cybernetics from Dalian University of Technology in 2009. Her current research interests include batch process control, fault-tolerant control and fault diagnosis. She worked as a postdoctoral fellow at the Hong Kong University of Science and Technology, Zhejiang University, and Tsinghua University, researching on advanced control methods, fault diagnosis and fault tolerant control of batch processes and published a series of original results in international journals, such as the Journal of Process Control, AIChE Journal, Industrial & Engineering Chemistry Research, and Control Engineering Practice.

Ridong Zhang received his Ph.D. degree in control science and engineering from Zhejiang University in 2007. From 2007 to 2015, he was a professor at the Institute of Information and Control, Hangzhou Dianzi University. Since 2015, he has been a visiting professor at the Chemical and Biomolecular Engineering Department, the Hong Kong University of Science and Technology. He has published more than 40 journal papers in the fields of process modeling and control. His research interests include process modeling, model predictive control, and nonlinear systems.

Furong Gao received his B.Eng. degree in automation from the China University of Petroleum in 1985 and M. Eng. and Ph.D. degrees in chemical engineering from McGill University, Canada, in 1989 and 1993 respectively. He worked as a senior research engineer at Moldflow International Company Ltd. Since 1995, he has been working at the Hong Kong University of Science and Technology, where he is currently the chair professor in the Department of Chemical and Biomolecular Engineering. His research interests include process monitoring, control and polymer processing.

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