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Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes
Synopsis
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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What Reviewers Are Saying
"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)