Real-Time Model Predictive Control via Multi-Parametric Programming: Theory and Tools

 
9783639206449: Real-Time Model Predictive Control via Multi-Parametric Programming: Theory and Tools

Model Predictive Control (MPC) is an attractive control methodology widely adopted by the process industry, since optimal operation of the plant can be achieved while taking constraints into account. Success of a practical implementation of MPC in real time then depends on how fast the optimal control input can be obtained. The computational burden can be significantly reduced by pre-computing the optimal solution for all possible operating scenarios using multi-parametric programming. This allows to reduce the task of MPC implementation to a simple set-membership test, which can be performed efficiently on low-cost hardware. For researchers and process engineers, this book provides a compact overview of the field of multi-parametric programming and its use for design of MPC strategies operating under hard real-time constraints. Special emphasis is put on analysis of complexity of multi-parametric solutions and novel algorithms aimed at reducing the induced computational load are presented. Last but not least, the book introduces a novel software tool - the Multi-Parametric Toolbox - which allows for rapid design, analysis, and deployment of MPC schemes.

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About the Author:

Dr. Michal Kvasnica received his PhD from the Swiss Federal Institute of Technology in Zurich, Switzerland and is currently an Assistant Professor at the Slovak University of Technology in Bratislava, Slovakia. His research covers model predictive control, hybrid systems, and development of software tools for control.

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Kvasnica, Michal
ISBN 10: 3639206444 ISBN 13: 9783639206449
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Descripción Estado de conservación: New. Publisher/Verlag: VDM Verlag Dr. Müller | Theory and Tools | Model Predictive Control (MPC) is an attractive control methodology widely adopted by the process industry, since optimal operation of the plant can be achieved while taking constraints into account. Success of a practical implementation of MPC in real time then depends on how fast the optimal control input can be obtained. The computational burden can be significantly reduced by pre-computing the optimal solution for all possible operating scenarios using multi-parametric programming. This allows to reduce the task of MPC implementation to a simple set-membership test, which can be performed efficiently on low-cost hardware. For researchers and process engineers, this book provides a compact overview of the field of multi-parametric programming and its use for design of MPC strategies operating under hard real-time constraints. Special emphasis is put on analysis of complexity of multi-parametric solutions and novel algorithms aimed at reducing the induced computational load are presented. Last but not least, the book introduces a novel software tool - the Multi-Parametric Toolbox - which allows for rapid design, analysis, and deployment of MPC schemes. | Format: Paperback | Language/Sprache: english | 366 gr | 220x150x14 mm | 272 pp. Nº de ref. de la librería K9783639206449

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Michal Kvasnica
Editorial: VDM Verlag Okt 2009 (2009)
ISBN 10: 3639206444 ISBN 13: 9783639206449
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Descripción VDM Verlag Okt 2009, 2009. Taschenbuch. Estado de conservación: Neu. Neuware - Model Predictive Control (MPC) is an attractive control methodology widely adopted by the process industry, since optimal operation of the plant can be achieved while taking constraints into account. Success of a practical implementation of MPC in real time then depends on how fast the optimal control input can be obtained. The computational burden can be significantly reduced by pre-computing the optimal solution for all possible operating scenarios using multi-parametric programming. This allows to reduce the task of MPC implementation to a simple set-membership test, which can be performed efficiently on low-cost hardware. For researchers and process engineers, this book provides a compact overview of the field of multi-parametric programming and its use for design of MPC strategies operating under hard real-time constraints. Special emphasis is put on analysis of complexity of multi-parametric solutions and novel algorithms aimed at reducing the induced computational load are presented. Last but not least, the book introduces a novel software tool - the Multi-Parametric Toolbox - which allows for rapid design, analysis, and deployment of MPC schemes. 272 pp. Englisch. Nº de ref. de la librería 9783639206449

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Michal Kvasnica
Editorial: VDM Verlag Okt 2009 (2009)
ISBN 10: 3639206444 ISBN 13: 9783639206449
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Descripción VDM Verlag Okt 2009, 2009. Taschenbuch. Estado de conservación: Neu. Neuware - Model Predictive Control (MPC) is an attractive control methodology widely adopted by the process industry, since optimal operation of the plant can be achieved while taking constraints into account. Success of a practical implementation of MPC in real time then depends on how fast the optimal control input can be obtained. The computational burden can be significantly reduced by pre-computing the optimal solution for all possible operating scenarios using multi-parametric programming. This allows to reduce the task of MPC implementation to a simple set-membership test, which can be performed efficiently on low-cost hardware. For researchers and process engineers, this book provides a compact overview of the field of multi-parametric programming and its use for design of MPC strategies operating under hard real-time constraints. Special emphasis is put on analysis of complexity of multi-parametric solutions and novel algorithms aimed at reducing the induced computational load are presented. Last but not least, the book introduces a novel software tool - the Multi-Parametric Toolbox - which allows for rapid design, analysis, and deployment of MPC schemes. 272 pp. Englisch. Nº de ref. de la librería 9783639206449

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Michal Kvasnica
Editorial: VDM Verlag (2009)
ISBN 10: 3639206444 ISBN 13: 9783639206449
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Irish Booksellers
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Descripción VDM Verlag, 2009. Paperback. Estado de conservación: New. book. Nº de ref. de la librería M3639206444

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Michal Kvasnica
Editorial: VDM Verlag Okt 2009 (2009)
ISBN 10: 3639206444 ISBN 13: 9783639206449
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Descripción VDM Verlag Okt 2009, 2009. Taschenbuch. Estado de conservación: Neu. This item is printed on demand - Print on Demand Neuware - Model Predictive Control (MPC) is an attractive control methodology widely adopted by the process industry, since optimal operation of the plant can be achieved while taking constraints into account. Success of a practical implementation of MPC in real time then depends on how fast the optimal control input can be obtained. The computational burden can be significantly reduced by pre-computing the optimal solution for all possible operating scenarios using multi-parametric programming. This allows to reduce the task of MPC implementation to a simple set-membership test, which can be performed efficiently on low-cost hardware. For researchers and process engineers, this book provides a compact overview of the field of multi-parametric programming and its use for design of MPC strategies operating under hard real-time constraints. Special emphasis is put on analysis of complexity of multi-parametric solutions and novel algorithms aimed at reducing the induced computational load are presented. Last but not least, the book introduces a novel software tool - the Multi-Parametric Toolbox - which allows for rapid design, analysis, and deployment of MPC schemes. 272 pp. Englisch. Nº de ref. de la librería 9783639206449

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Michal Kvasnica
Editorial: VDM Verlag, Russian Federation (2012)
ISBN 10: 3639206444 ISBN 13: 9783639206449
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Descripción VDM Verlag, Russian Federation, 2012. Paperback. Estado de conservación: New. Language: English . Brand New Book. Model Predictive Control (MPC) is an attractive control methodology widely adopted by the process industry, since optimal operation of the plant can be achieved while taking constraints into account. Success of a practical implementation of MPC in real time then depends on how fast the optimal control input can be obtained. The computational burden can be significantly reduced by pre-computing the optimal solution for all possible operating scenarios using multi-parametric programming. This allows to reduce the task of MPC implementation to a simple set-membership test, which can be performed efficiently on low-cost hardware. For researchers and process engineers, this book provides a compact overview of the field of multi-parametric programming and its use for design of MPC strategies operating under hard real-time constraints. Special emphasis is put on analysis of complexity of multi-parametric solutions and novel algorithms aimed at reducing the induced computational load are presented. Last but not least, the book introduces a novel software tool - the Multi-Parametric Toolbox - which allows for rapid design, analysis, and deployment of MPC schemes. This book was created using print-on-demand technology. Nº de ref. de la librería KNV9783639206449

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