Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes
Furong Gao, Ridong Zhang, Limin Wang, et al.
Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik
Beschreibung
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.
Kundenbewertungen
Fault-tolerant Control, Iterative Learning Stabilization, Time-varying Delays, Average-dwell-time methods, Batch Processes, Batch process optimization, Two-dimensional control, 2D T-S Fuzzy Model Control