Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes

Download or read book Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes written by Limin Wang and published by Springer. This book was released on 2019-03-18 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.