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
- Includes supplementary material: sn.pub/extras
Part of the book series: Communications and Control Engineering (CCE)
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Table of contents (10 chapters)
Reviews
“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
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/10.1007/978-0-85729-501-9
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London Limited 2011
Hardcover ISBN: 978-0-85729-500-2Published: 10 April 2011
eBook ISBN: 978-0-85729-501-9Published: 11 April 2011
Series ISSN: 0178-5354
Series E-ISSN: 2197-7119
Edition Number: 1
Number of Pages: XII, 360
Topics: Control and Systems Theory, Systems Theory, Control, Industrial Chemistry/Chemical Engineering, Automotive Engineering