Overview
- Provides researchers with a self-contained reference for nonlinear model predictive control which can support further research
- Offers the student an up-to-date account of nonlinear model predictive control written in a textbook style for easier learning
- Gives the lecturer a sourcebook for teaching nonlinear model predictive control without needing to work up material from papers and contributed books
- The only book to offer comprehensive coverage of NMPC without terminal conditions
- Includes supplementary material: sn.pub/extras
Part of the book series: Communications and Control Engineering (CCE)
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About this book
An introduction to nonlinear optimal control algorithms yields essential insights into how the nonlinear optimization routine—the core of any nonlinear model predictive controller—works. Accompanying software in MATLAB® and C++ (downloadable from extras.springer.com/), together with an explanatory appendix in the book itself, enables readers to perform computer experiments exploring thepossibilities and limitations of NMPC.
The second edition has been substantially rewritten, edited and updated to reflect the significant advances that have been made since the publication of its predecessor, including:
• a new chapter on economic NMPC relaxing the assumption that the running cost penalizes the distance to a pre-defined equilibrium;
• a new chapter on distributed NMPC discussing methods which facilitate the control of large-scale systems by splitting up the optimization into smaller subproblems;
• an extended discussion of stability and performance using approximate updates rather than full optimization;
• replacement of the pivotal sufficient condition for stability without stabilizing terminal conditions with a weaker alternative and inclusion of an alternative and much simpler proof in the analysis; and
• further variations and extensions in response to suggestions from readers of the first edition.
Though primarily aimed at academic researchers and practitioners working in control and optimization, the text is self-contained, featuring background material on infinite-horizon optimal control and Lyapunov stability theory that also makes it accessible for graduate students in control engineering and applied mathematics.
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Table of contents (12 chapters)
Reviews
“The book is self-contained and its excellent presentation can be highly recommended for students but also researchers new to the topic of model predictive control.” (Tobias Breiten, zbMATH 1429.93003, 2020)
From the reviews of the first edition:
“The book provides an excellent and extensive treatment of NMPC from a careful introduction to the underlying theory to advanced results. It can be used for independent reading by applied mathematicians, control theoreticians and engineers who desire a rigorous introduction into the NMPC theory. It can also be used as a textbook for a graduate-level university course in NMPC.” (Ilya Kolmanovsky, Mathematical Reviews, April, 2015)
“In the monograph nonlinear, discrete-time, finite-dimensional control systems with constant parameters are considered. … Each chapter of the monograph contains many numerical examples which illustrate the theoretical considerations, several possible extensions and open problems. Moreover, relationships to results on predictive control published in the literature are pointed out.” (Jerzy Klamka, Zentralblatt MATH, Vol. 1220, 2011)Authors and Affiliations
About the authors
Bibliographic Information
Book Title: Nonlinear Model Predictive Control
Book Subtitle: Theory and Algorithms
Authors: Lars Grüne, Jürgen Pannek
Series Title: Communications and Control Engineering
DOI: https://doi.org/10.1007/978-3-319-46024-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Hardcover ISBN: 978-3-319-46023-9Published: 22 November 2016
Softcover ISBN: 978-3-319-83423-8Published: 28 June 2018
eBook ISBN: 978-3-319-46024-6Published: 09 November 2016
Series ISSN: 0178-5354
Series E-ISSN: 2197-7119
Edition Number: 2
Number of Pages: XIV, 456
Number of Illustrations: 58 b/w illustrations, 22 illustrations in colour
Topics: Control and Systems Theory, Systems Theory, Control, Industrial Chemistry/Chemical Engineering, Automotive Engineering