Iterative Learning Stabilization and Fault-Tolerant Control for 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 learnin...

Full description

Bibliographic Details
Main Authors: Wang, Limin, Zhang, Ridong (Author), Gao, Furong (Author)
Format: eBook
Language:English
Published: Singapore Springer Singapore 2020, 2020
Edition:1st ed. 2020
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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