Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes (2020)
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.
| Quantity | Price | Discount |
|---|---|---|
| List Price | $169.99 |
Non-returnable discount pricing
$169.99
Book Information
| Publisher: | Springer |
|---|---|
| Publish Date: | 03/26/2019 |
| Pages: | 323 |
| ISBN-13: | 9789811357893 |
| ISBN-10: | 9811357897 |
| Language: | English |
Full 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.