Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes (Hardcover, 1st ed. 2020)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	March 2019
First published:	2020
Authors:	Limin Wang • Ridong Zhang • Furong Gao
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	323
Edition:	1st ed. 2020
ISBN-13:	978-981-13-5789-3
Categories:	Books > Computing & IT > Internet > Network computers Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	981-13-5789-7
Barcode:	9789811357893

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