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.