Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes /
General Material Designation
[Book]
First Statement of Responsibility
Limin Wang, Ridong Zhang and Furong Ga.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Singapore :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
[2020]
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references.
CONTENTS NOTE
Text of Note
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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SUMMARY OR ABSTRACT
Text of Note
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.