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Model Predictive Control System Design and Implementation Using MATLAB
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Model Predictive Control System Design and Implementation Using MATLAB
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Model Predictive Control System Design and Implementation Using MATLAB® (Advances in Industrial Control)
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Model Predictive Control System Design and Implementation Using MATLAB
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Model Predictive Control System Design and Implementation Using MATLAB (Paperback)
Published by Springer London Ltd, England, 2010
ISBN 10: 1849968365 ISBN 13: 9781849968362
Language: English
First Edition
Paperback. Condition: new. Paperback. Model Predictive Control System Design and Implementation Using MATLAB proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters.After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained.The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB programs and exercises. Model Predictive Control System Design and Implementation Using MATLAB proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Model Predictive Control System Design and Implementation Using MATLAB (Hardcover)
Published by Springer London Ltd, England, 2009
ISBN 10: 1848823304 ISBN 13: 9781848823303
Language: English
Hardcover. Condition: new. Hardcover. Model Predictive Control System Design and Implementation Using MATLAB proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters.After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained.The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB programs and exercises. Model Predictive Control System Design and Implementation Using MATLAB proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Model Predictive Control System Design and Implementation Using Matlab®
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Model Predictive Control System Design and Implementation Using MATLAB®
Published by Springer London, Springer London Mär 2009, 2009
ISBN 10: 1848823304 ISBN 13: 9781848823303
Language: English
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Add to basketBuch. Condition: Neu. Neuware -Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters.After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained.The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB® programs and exercises.
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Add to basketCondition: New. pp. 408 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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Add to basketCondition: New. Novel basis-function approach simplifies solution of discrete- and continuous-time problems in a widely-used control design methodology Helps to provide more computationally efficient algorithms for better on-line control than previously atta.
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Model Predictive Control System Design and Implementation Using MATLAB®
Published by Springer London, Springer London Okt 2010, 2010
ISBN 10: 1849968365 ISBN 13: 9781849968362
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters.After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained.The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB® programs and exercises.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 408 pp. Englisch.
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Model Predictive Control System Design and Implementation Using MATLAB®
Published by Springer London Ltd, GB, 2009
ISBN 10: 1848823304 ISBN 13: 9781848823303
Language: English
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Add to basketHardback. Condition: New. 2009 ed. Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters.After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained.The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB® programs and exercises.
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Model Predictive Control System Design and Implementation Using MATLAB®
Published by Springer London, Springer London, 2010
ISBN 10: 1849968365 ISBN 13: 9781849968362
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters.After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained.The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB® programs and exercises.
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Model Predictive Control System Design and Implementation Using MATLAB®
Published by Springer London, Springer London, 2009
ISBN 10: 1848823304 ISBN 13: 9781848823303
Language: English
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters.After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained.The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB® programs and exercises.
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Add to basketHardcover. Condition: Brand New. 1st edition. 376 pages. 9.75x6.75x0.75 inches. In Stock.
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Model Predictive Control System Design and Implementation Using Matlab®
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Add to basketPaperback. Condition: Like New. Like New. book.
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Model Predictive Control System Design and Implementation Using MATLAB®
Published by Springer London Ltd, GB, 2009
ISBN 10: 1848823304 ISBN 13: 9781848823303
Language: English
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Add to basketHardback. Condition: New. 2009 ed. Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters.After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained.The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB® programs and exercises.
