Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes
Nonfiction, Science & Nature, Technology, Automation, Computers, Advanced Computing, Artificial Intelligence
| Author: | Limin Wang, Ridong Zhang, Furong Gao | ISBN: | 9789811357909 |
| Publisher: | Springer Singapore | Publication: | March 14, 2019 |
| Imprint: | Springer | Language: | English |
| Author: | Limin Wang, Ridong Zhang, Furong Gao |
| ISBN: | 9789811357909 |
| Publisher: | Springer Singapore |
| Publication: | March 14, 2019 |
| Imprint: | Springer |
| Language: | English |
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.
