Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes

Nonfiction, Science & Nature, Technology, Automation, Computers, Advanced Computing, Artificial Intelligence
Cover of the book Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes by Limin Wang, Ridong Zhang, Furong Gao, Springer Singapore
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Author: Limin Wang, Ridong Zhang, Furong Gao ISBN: 9789811357909
Publisher: Springer Singapore Publication: March 14, 2019
Imprint: Springer Language: English
Author: Limin Wang, Ridong Zhang, Furong Gao
ISBN: 9789811357909
Publisher: Springer Singapore
Publication: March 14, 2019
Imprint: Springer
Language: English

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.

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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.

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