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Explicit Nonlinear Model Predictive Control: Theory and Applications - Alexandra Grancharova, Tor Arne Johansen
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Alexandra Grancharova, Tor Arne Johansen:

Explicit Nonlinear Model Predictive Control: Theory and Applications - neues Buch

ISBN: 9783642287794

ID: 978364228779

Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process industries. The main motivation behind explicit NMPC is that an explicit state feedback law avoids the need for executing a numerical optimization algorithm in real time. The benefits of an explicit solution, in addition to the efficient on-line computations, include also verifiability of the implementation and the possibility to design embedded control systems with low software and hardware complexity.This book considers the multi-parametric Nonlinear Programming (mp-NLP) approaches to explicit approximate NMPC of constrained nonlinear systems, developed by the authors, as well as their applications to various NMPC problem formulations and several case studies. The following types of nonlinear systems are considered, resulting in different NMPC problem formulations:Ø Nonlinear systems described by first-principles models and nonlinear systems described by black-box models;- Nonlinear systems with continuous control inputs and nonlinear systems with quantized control inputs;- Nonlinear systems without uncertainty and nonlinear systems with uncertainties (polyhedral description of uncertainty and stochastic description of uncertainty);- Nonlinear systems, consisting of interconnected nonlinear sub-systems.The proposed mp-NLP approaches are illustrated with applications to several case studies, which are taken from diverse areas such as automotive mechatronics, compressor control, combustion plant control, reactor control, pH maintaining system control, cart and spring system control, and diving computers. Alexandra Grancharova, Tor Arne Johansen, Books, Science and Nature, Explicit Nonlinear Model Predictive Control: Theory and Applications Books>Science and Nature, Springer Berlin Heidelberg

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Explicit Nonlinear Model Predictive Control - Grancharova, Alexandra Ivanova Johansen, Tor Arne
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Grancharova, Alexandra Ivanova Johansen, Tor Arne:

Explicit Nonlinear Model Predictive Control - Taschenbuch

2012, ISBN: 9783642287794

[ED: Softcover], [PU: Springer, Berlin], Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process industries. The main motivation behind explicit NMPC is that an explicit state feedback law avoids the need for executing a numerical optimization algorithm in real time. The benefits of an explicit solution, in addition to the efficient on-line computations, include also verifiability of the implementation and the possibility to design embedded control systems with low software and hardware complexity. This book considers the multi-parametric Nonlinear Programming (mp-NLP) approaches to explicit approximate NMPC of constrained nonlinear systems, developed by the authors, as well as their applications to various NMPC problem formulations and several case studies. The following types of nonlinear systems are considered, resulting in different NMPC problem formulations: Ø Nonlinear systems described by first-principles models and nonlinear systems described by black-box models - Nonlinear systems with continuous control inputs and nonlinear systems with quantized control inputs - Nonlinear systems without uncertainty and nonlinear systems with uncertainties (polyhedral description of uncertainty and stochastic description of uncertainty) - Nonlinear systems, consisting of interconnected nonlinear sub-systems. The proposed mp-NLP approaches are illustrated with applications to several case studies, which are taken from diverse areas such as automotive mechatronics, compressor control, combustion plant control, reactor control, pH maintaining system control, cart and spring system control, and diving computers. 2012. xiv, 234 S. 49 SW-Abb., 17 Farbabb. 235 mm Sofort lieferbar, [SC: 0.00], Neuware, gewerbliches Angebot

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Explicit Nonlinear Model Predictive Control - Alexandra Grancharova
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Alexandra Grancharova:
Explicit Nonlinear Model Predictive Control - Taschenbuch

ISBN: 9783642287794

[ED: Taschenbuch], [PU: Springer-Verlag GmbH], Neuware - Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process industries. The main motivation behind explicit NMPC is that an explicit state feedback law avoids the need for executing a numerical optimization algorithm in real time. The benefits of an explicit solution, in addition to the efficient on-line computations, include also verifiability of the implementation and the possibility to design embedded control systems with low software and hardware complexity. This book considers the multi-parametric Nonlinear Programming (mp-NLP) approaches to explicit approximate NMPC of constrained nonlinear systems, developed by the authors, as well as their applications to various NMPC problem formulations and several case studies. The following types of nonlinear systems are considered, resulting in different NMPC problem formulations: Ø Nonlinear systems described by first-principles models and nonlinear systems described by black-box models - Nonlinear systems with continuous control inputs and nonlinear systems with quantized control inputs - Nonlinear systems without uncertainty and nonlinear systems with uncertainties (polyhedral description of uncertainty and stochastic description of uncertainty) - Nonlinear systems, consisting of interconnected nonlinear sub-systems. The proposed mp-NLP approaches are illustrated with applications to several case studies, which are taken from diverse areas such as automotive mechatronics, compressor control, combustion plant control, reactor control, pH maintaining system con, Neuware, gewerbliches Angebot, 238x156x17 mm, [GW: 376g]

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Explicit Nonlinear Model Predictive Control - Alexandra Grancharova
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(*)
Alexandra Grancharova:
Explicit Nonlinear Model Predictive Control - Taschenbuch

ISBN: 9783642287794

[ED: Taschenbuch], [PU: Springer-Verlag GmbH], Neuware - Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process industries. The main motivation behind explicit NMPC is that an explicit state feedback law avoids the need for executing a numerical optimization algorithm in real time. The benefits of an explicit solution, in addition to the efficient on-line computations, include also verifiability of the implementation and the possibility to design embedded control systems with low software and hardware complexity. This book considers the multi-parametric Nonlinear Programming (mp-NLP) approaches to explicit approximate NMPC of constrained nonlinear systems, developed by the authors, as well as their applications to various NMPC problem formulations and several case studies. The following types of nonlinear systems are considered, resulting in different NMPC problem formulations: Ø Nonlinear systems described by first-principles models and nonlinear systems described by black-box models - Nonlinear systems with continuous control inputs and nonlinear systems with quantized control inputs - Nonlinear systems without uncertainty and nonlinear systems with uncertainties (polyhedral description of uncertainty and stochastic description of uncertainty) - Nonlinear systems, consisting of interconnected nonlinear sub-systems. The proposed mp-NLP approaches are illustrated with applications to several case studies, which are taken from diverse areas such as automotive mechatronics, compressor control, combustion plant control, reactor control, pH maintaining system con, Neuware, gewerbliches Angebot, 238x156x17 mm, [GW: 376g]

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Explicit Nonlinear Model Predictive Control - Alexandra Grancharova
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(*)
Alexandra Grancharova:
Explicit Nonlinear Model Predictive Control - Taschenbuch

ISBN: 9783642287794

[ED: Taschenbuch], [PU: Springer-Verlag GmbH], Neuware - Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process industries. The main motivation behind explicit NMPC is that an explicit state feedback law avoids the need for executing a numerical optimization algorithm in real time. The benefits of an explicit solution, in addition to the efficient on-line computations, include also verifiability of the implementation and the possibility to design embedded control systems with low software and hardware complexity. This book considers the multi-parametric Nonlinear Programming (mp-NLP) approaches to explicit approximate NMPC of constrained nonlinear systems, developed by the authors, as well as their applications to various NMPC problem formulations and several case studies. The following types of nonlinear systems are considered, resulting in different NMPC problem formulations: Ø Nonlinear systems described by first-principles models and nonlinear systems described by black-box models - Nonlinear systems with continuous control inputs and nonlinear systems with quantized control inputs - Nonlinear systems without uncertainty and nonlinear systems with uncertainties (polyhedral description of uncertainty and stochastic description of uncertainty) - Nonlinear systems, consisting of interconnected nonlinear sub-systems. The proposed mp-NLP approaches are illustrated with applications to several case studies, which are taken from diverse areas such as automotive mechatronics, compressor control, combustion plant control, reactor control, pH maintaining system con, Neuware, gewerbliches Angebot, FixedPrice, [GW: 376g]

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Details zum Buch
Explicit Nonlinear Model Predictive Control
Autor:

Alexandra Grancharova

Titel:

Explicit Nonlinear Model Predictive Control

ISBN-Nummer:

3642287794

Detailangaben zum Buch - Explicit Nonlinear Model Predictive Control


EAN (ISBN-13): 9783642287794
ISBN (ISBN-10): 3642287794
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2012
Herausgeber: Springer-Verlag GmbH
234 Seiten
Gewicht: 0,376 kg
Sprache: Englisch

Buch in der Datenbank seit 04.08.2009 09:58:52
Buch zuletzt gefunden am 22.08.2016 12:38:23
ISBN/EAN: 3642287794

ISBN - alternative Schreibweisen:
3-642-28779-4, 978-3-642-28779-4

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