Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes

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  • Springer

  • Date de publication : 2019-03-18


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Détails du livre

Titre : Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes
Pages : 323
Collection : n.c
Parution : 2019-03-18
Éditeur : Springer
EAN papier : 9789811357893
À propos du livre

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.

Format EPUB - Nb pages copiables : 3 - Nb pages imprimables : 32 - Poids : 32502 Ko - - Prix : 94,94 € - EAN : 9789811357909

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