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Item Details
Title: NONLINEAR MODEL PREDICTIVE CONTROL
By: Lars Grune, Jurgen Pannek
Format: Mixed media product

List price: £142.79


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ISBN 10: 0857295004
ISBN 13: 9780857295002
Publisher: SPRINGER LONDON LTD
Pub. date: 1 April, 2011
Series: Communications and Control Engineering
Pages: 372
Description: Here is a thorough introduction to nonlinear model predictive control for discrete-time and sampled-data systems. Includes an appendix with NMPC software and accompanying MATLAB(R) and C++ programs enable readers to perform computer experiments exploring NMPC.
Synopsis: "Nonlinear 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[registered] and C++ enables readers to perform computer experiments exploring the possibilities and limitations of NMPC.
Illustrations: 3 black & white tables, biography
Publication: UK
Imprint: Springer London Ltd
Returns: Returnable
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