Iterative Learning Stabilization And Fault Tolerant Control For Batch Processes
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Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes
Author | : Limin Wang |
Publisher | : Springer |
Total Pages | : 323 |
Release | : 2019-03-18 |
Genre | : Technology & Engineering |
ISBN | : 9811357900 |
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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.
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