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

• Κύριοι συγγραφείς: Zhang, Ridong (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Xue, Anke (http://id.loc.gov/vocabulary/relators/aut), Gao, Furong (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Control engineering.; System theory.; Calculus of variations.; Energy efficiency.; Control and Systems Theory.; Systems Theory, Control.; Calculus of Variations and Optimal Control; Optimization.; Energy Efficiency.
• Φυσική περιγραφή: XV, 137 p. 28 illus., 25 illus. in color. online resource.
• ISBN: 9789811300837
• DOI: 10.1007/978-981-13-0083-7

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. .