Limin Wang Ridong Zhang Furong Gao Wang Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes

Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes

von Limin Wang Ridong Zhang Furong Gao

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Beschreibung

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.


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.


Is the first book focusing on stabilization and fault-tolerant control of batch processes using two-dimensional models Introduces the average-dwell-time methods in the controller design of multi-phase batch processes for the first time Provides technologies and algorithms that are helpful both for theoretical development and for industrial applications

Autor*in

Limin Wang

Themen in »Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes«

Batch Processes Iterative Learning Stabilization Fault-tolerant Control 2D T-S Fuzzy Model Control Time-varying Delays Average-dwell-time methods Two-dimensional control Batch process optimization

Stimmen zu »Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes«

“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)
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Details

ISBN: 9789811357909
Verlag: Springer Singapore
Erscheinung: 18.03.2019

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