Model Predictive Control ebook

This monograph introduces the authors’ work on Model Predictive Control system design using extended state space and extended non-minimal state space approaches. It systematically describes Model Predictive Control design for chemical processes, including the basic control algorithms, the extension to predictive functional control, constrained control, closed-loop system analysis, Model Predictive Control optimization-based PID control, genetic algorithm optimization-based Model Predictive Control, and industrial applications. Providing important insights, useful methods and practical algorithms that can be used in chemical process control and optimization, it offers a valuable resource for researchers, scientists and engineers in the field of process system engineering and control engineering.