Description
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.
Table of Contents
Introduction.- Iterative learning control of linear batch processes.- Iterative learning control of nonlinear batch processes.- Iterative learning optimal guaranteed cost control of batch processes.- Iterative learning control of multi-phase batch processes.- Delay-dependent iterative learning control of multi-phase batch processes.- Iterative learning fault-tolerant control of linear batch processes.- Iterative learning fault-tolerant control of nonlinear batch processes.- Iterative learning fault-tolerant control of multi-phase batch processes.- Further ideas on constrained infinite horizon fault-tolerant control of batch processes.
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