Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes

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Springer


Paru le : 2019-03-18

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Description
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.
Pages
323 pages
Collection
n.c
Parution
2019-03-18
Marque
Springer
EAN papier
9789811357893
EAN PDF
9789811357909

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
5929 Ko
Prix
94,94 €
EAN EPUB
9789811357909

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
32502 Ko
Prix
94,94 €

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