Model Predictive Control: Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model

Zhang, Ridong; Xue, Anke; Gao, Furong

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. 

Details

Published by: Springer

Publication Date: 2018-12-23

Format: Paperback

ISBN-13: 9789811343261

DOI: 10.1007/978-981-13-0083-7

Dimensions: 235cm x155cm

Pages: 137