Nonlinear Model Predictive Control: Theory and Algorithms (Communications and Control Engineering)

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, inv...

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Những tác giả chính: Grüne, Lars, Pannek, Jürgen
Định dạng: Sách
Ngôn ngữ:English
Được phát hành: Springer 2012
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Truy cập trực tuyến:http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30129
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spelling oai:scholar.dlu.edu.vn:DLU123456789-301292012-03-11T09:31:21Z Nonlinear Model Predictive Control: Theory and Algorithms (Communications and Control Engineering) Grüne, Lars Pannek, Jürgen Engineering 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® and C++(downloadable from www.springer.com/ISBN) enables readers to perform computer experiments exploring the possibilities and limitations of NMPC. 2012-03-06T03:36:50Z 2012-03-06T03:36:50Z 2011 Book 9780857295002 http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30129 en application/pdf Springer
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language English
topic Engineering
spellingShingle Engineering
Grüne, Lars
Pannek, Jürgen
Nonlinear Model Predictive Control: Theory and Algorithms (Communications and Control Engineering)
description 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® and C++(downloadable from www.springer.com/ISBN) enables readers to perform computer experiments exploring the possibilities and limitations of NMPC.
format Book
author Grüne, Lars
Pannek, Jürgen
author_facet Grüne, Lars
Pannek, Jürgen
author_sort Grüne, Lars
title Nonlinear Model Predictive Control: Theory and Algorithms (Communications and Control Engineering)
title_short Nonlinear Model Predictive Control: Theory and Algorithms (Communications and Control Engineering)
title_full Nonlinear Model Predictive Control: Theory and Algorithms (Communications and Control Engineering)
title_fullStr Nonlinear Model Predictive Control: Theory and Algorithms (Communications and Control Engineering)
title_full_unstemmed Nonlinear Model Predictive Control: Theory and Algorithms (Communications and Control Engineering)
title_sort nonlinear model predictive control: theory and algorithms (communications and control engineering)
publisher Springer
publishDate 2012
url http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30129
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