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Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes/ by Limin Wang, Ridong Zhang, Furong Gao.
Author:	Wang, Limin.
other author:	Zhang, Ridong.
Description:	X, 323 p. 66 illus., 58 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Control engineering. -
Online resource:	https://doi.org/10.1007/978-981-13-5790-9
ISBN:	9789811357909

Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes
Wang, Limin.

Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes[electronic resource] /by Limin Wang, Ridong Zhang, Furong Gao. - 1st ed. 2020. - X, 323 p. 66 illus., 58 illus. in color.online resource.

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.

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.

ISBN: 9789811357909

Standard No.: 10.1007/978-981-13-5790-9doiSubjects--Topical Terms:

1249728
Control engineering.

LC Class. No.: TJ212-225

Dewey Class. No.: 629.8

Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes
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505 0 $a 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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