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OverviewNonlinear Model Predictive Control is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. NMPC schemes with and without stabilizing terminal constraints are detailed and intuitive examples illustrate the performance of different NMPC variants. An introduction to nonlinear optimal control algorithms gives insight into how the nonlinear optimisation routine - the core of any NMPC controller - works. An appendix covering NMPC software and accompanying software in MATLAB(R) and C++(downloadable from www.springer.com/ISBN) enables readers to perform computer experiments exploring the possibilities and limitations of NMPC. Full Product DetailsAuthor: Lars Grune , Jurgen PannekPublisher: Springer London Ltd Imprint: Springer London Ltd Edition: 2011 ed. Dimensions: Width: 15.50cm , Height: 2.30cm , Length: 23.50cm Weight: 0.569kg ISBN: 9781447126492ISBN 10: 1447126491 Pages: 360 Publication Date: 28 May 2013 Audience: Professional and scholarly , Professional & Vocational Replaced By: 9783319460239 Format: Paperback Publisher's Status: Active Availability: In stock We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviews"""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)" From the reviews: 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) Author InformationTab Content 6Author Website:Countries AvailableAll regions |