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Economic Model Predictive Control

Theory, Formulations and Chemical Process Applications - Previously published in hardcover
BuchKartoniert, Paperback
292 Seiten
Englisch
Springererschienen am12.06.2018Softcover reprint of the original 1st ed. 2017
This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational efficiency.mehr
Verfügbare Formate
BuchGebunden
EUR149,79
BuchKartoniert, Paperback
EUR149,79
E-BookPDF1 - PDF WatermarkE-Book
EUR139,09

Produkt

KlappentextThis book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational efficiency.
Details
ISBN/GTIN978-3-319-82268-6
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2018
Erscheinungsdatum12.06.2018
AuflageSoftcover reprint of the original 1st ed. 2017
ReiheAdvances in Industrial Control
Seiten292 Seiten
SpracheEnglisch
Gewicht539 g
IllustrationenXXIV, 292 p. 95 illus., 16 illus. in color.
Artikel-Nr.45654350

Inhalt/Kritik

Inhaltsverzeichnis
Introduction.- Background on Nonlinear Systems, Control, and Optimization.- Brief Overview of EMPC Methods and some Preliminary Results.- Lyapunov-Based EMPC.- State Estimation and EMPC.- Two-Layer EMPC Systems.- EMPC Systems: Computational Efficiency and Real-Time Implementation.mehr
Kritik
"The reviewed book deals with stability and performance analysis of nonlinear control systems under economic model predictive control (EMPC). ... the book builds a bridge between the theory and practice and provides an excellent balance between theoretical results and their application-specific implementation." (Petro Feketa, zbMATH 1405.93004, 2019)

"This book presents a comprehensive introduction to the topic of economic model predictive control (EMPC). ... Every chapter contains illustrations of the presented results though applications to chemical process control." (Dante Kalise, Mathematical Reviews, February, 2019)mehr

Schlagworte

Autor

Dr. Liu received the BS and MS degrees in Control Science and Engineering from Zhejiang University in 2003 and 2006, respectively. He received the PhD degree in Chemical Engineering from the University of California, Los Angeles in 2011. Before joining the University of Alberta in April, 2012, Dr. Liu was a postdoctoral researcher at the University of California, Los Angeles. His research interests are in the general areas of process control theory and practice with emphasis on model predictive control, networked and distributed control, process monitoring, and real-time control of chemical processes and energy generation systems.
Professor Panagiotis Christofides obtained his PhD from the University of Minnesota in 1996 and he has been a professor at the University of California, Los Angeles since 2004. He is a fellow of various professional societies: the American Association for the Advancement of Science, the International Federation of Automatic Control and the IEEE. He is the author of numerous research papers, as well as two previous books published by Springer and has much experience of conference organization having served on various boards at various times, among them as the AIChE Director on the American Automatic Control Council.