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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2019
ISBN 10: 1119119545 ISBN 13: 9781119119548
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 136,04
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Aggiungi al carrelloHardback. Condizione: New. This book is a comprehensive introduction to model predictive control (MPC), including its basic principles and algorithms, system analysis and design methods, strategy developments and practical applications. The main contents of the book include an overview of the development trajectory and basic principles of MPC, typical MPC algorithms, quantitative analysis of classical MPC systems, design and tuning methods for MPC parameters, constrained multivariable MPC algorithms and online optimization decomposition methods. Readers will then progress to more advanced topics such as nonlinear MPC and its related algorithms, the diversification development of MPC with respect to control structures and optimization strategies, and robust MPC. Finally, applications of MPC and its generalization to optimization-based dynamic problems other than control will be discussed. Systematically introduces fundamental concepts, basic algorithms, and applications of MPCIncludes a comprehensive overview of MPC development, emphasizing recent advances and modern approachesFeatures numerous MPC models and structures, based on rigorous researchBased on the best-selling Chinese edition, which is a key text in China Predictive Control: Fundamentals and Developments is written for advanced undergraduate and graduate students and researchers specializing in control technologies. It is also a useful reference for industry professionals, engineers, and technicians specializing in advanced optimization control technology.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 116,98
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Aggiungi al carrelloCondizione: New. Über den AutorYugeng Xi is a Chair Professor of Shanghai Jiao Tong University (SJTU). He received Dr.-Ing. degree on automatic control from Technical University Munich, Germany in 1984. Since then he has been with the Depa.
EUR 180,37
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Aggiungi al carrelloHardcover. Condizione: Brand New. 440 pages. 9.92x6.91x1.33 inches. In Stock.
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2019
ISBN 10: 1119119545 ISBN 13: 9781119119548
Da: Rarewaves.com UK, London, Regno Unito
EUR 127,52
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Aggiungi al carrelloHardback. Condizione: New. This book is a comprehensive introduction to model predictive control (MPC), including its basic principles and algorithms, system analysis and design methods, strategy developments and practical applications. The main contents of the book include an overview of the development trajectory and basic principles of MPC, typical MPC algorithms, quantitative analysis of classical MPC systems, design and tuning methods for MPC parameters, constrained multivariable MPC algorithms and online optimization decomposition methods. Readers will then progress to more advanced topics such as nonlinear MPC and its related algorithms, the diversification development of MPC with respect to control structures and optimization strategies, and robust MPC. Finally, applications of MPC and its generalization to optimization-based dynamic problems other than control will be discussed. Systematically introduces fundamental concepts, basic algorithms, and applications of MPCIncludes a comprehensive overview of MPC development, emphasizing recent advances and modern approachesFeatures numerous MPC models and structures, based on rigorous researchBased on the best-selling Chinese edition, which is a key text in China Predictive Control: Fundamentals and Developments is written for advanced undergraduate and graduate students and researchers specializing in control technologies. It is also a useful reference for industry professionals, engineers, and technicians specializing in advanced optimization control technology.
Da: Revaluation Books, Exeter, Regno Unito
EUR 149,73
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Aggiungi al carrelloHardcover. Condizione: Brand New. 440 pages. 9.92x6.91x1.33 inches. In Stock. This item is printed on demand.