Handbook of Model Predictive Control - Couverture rigide

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9783319774886: Handbook of Model Predictive Control

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ISBN 10 : 3319774883 ISBN 13 : 9783319774886

Editeur : Birkhauser Verlag AG, 2018

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Recent developments in model-predictive control promise remarkable opportunities for designing multi-input, multi-output control systems and improving the control of single-input, single-output systems. This volume provides a definitive survey of the latest model-predictive control methods available to engineers and scientists today.

The initial set of chapters present various methods for managing uncertainty in systems, including stochastic model-predictive control. With the advent of affordable and fast computation, control engineers now need to think about using "computationally intensive controls," so the second part of this book addresses the solution of optimization problems in "real" time for model-predictive control. The theory and applications of control theory often influence each other, so the last section of Handbook of Model Predictive Control rounds out the book with representative applications to automobiles, healthcare, robotics, and finance.

The chapters in this volume will be useful to working engineers, scientists, and mathematicians, as well as students and faculty interested in the progression of control theory. Future developments in MPC will no doubt build from concepts demonstrated in this book and anyone with an interest in MPC will find fruitful information and suggestions for additional reading.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Birkhauser Verlag AG
Date d'�dition: 2018
Langue: anglais
ISBN 10: 3319774883
ISBN 13: 9783319774886
Reliure: Reli�
Nombre de pages: 713
�diteur: Raković Saša V., Levine William S.
Coordonn�es du fabricant: ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Allemagne

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Edit� par Birkh�user, 2018

ISBN 10 : 3319774883 ISBN 13 : 9783319774886

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Handbook of Model Predictive Control (Control Engineering)

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ISBN 10 : 3319774883 ISBN 13 : 9783319774886

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Handbook of Model Predictive Control

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Edit� par Springer International Publishing, Springer Nature Switzerland Sep 2018, 2018

ISBN 10 : 3319774883 ISBN 13 : 9783319774886

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Recent developments in model-predictive control promise remarkable opportunities for designing multi-input, multi-output control systems and improving the control of single-input, single-output systems. This volume provides a definitive survey of the latest model-predictive control methods available to engineers and scientists today. The initial set of chapters present various methods for managing uncertainty in systems, including stochastic model-predictive control. With the advent of affordable and fast computation, control engineers now need to think about using 'computationally intensive controls,' so the second part of this book addresses the solution of optimization problems in 'real' time for model-predictive control. The theory and applications of control theory often influence each other, so the last section of Handbook of Model Predictive Control rounds out the book with representative applications to automobiles, healthcare, robotics, and finance.The chapters in this volume will be useful to working engineers, scientists, and mathematicians, as well as students and faculty interested in the progression of control theory. Future developments in MPC will no doubt build from concepts demonstrated in this book and anyone with an interest in MPC will find fruitful information and suggestions for additional reading. 716 pp. Englisch. N� de r�f. du vendeur 9783319774886

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Handbook of Model Predictive Control

Rakovic, Sasa V.|Levine, William S.

Edit� par Springer International Publishing, 2018

ISBN 10 : 3319774883 ISBN 13 : 9783319774886

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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Helps readers learn state-of-the-art applications of control theory with numerous step-by-step tutorialsProvides a comprehensive survey of contemporary model-predictive control theory and methodsIllustrates solutions for a variety of. N� de r�f. du vendeur 208142004

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Handbook of Model Predictive Control (Control Engineering)

Edit� par Birkh�user, 2018

ISBN 10 : 3319774883 ISBN 13 : 9783319774886

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Hardcover. Etat : New. New. book. N� de r�f. du vendeur ERICA77333197748836

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HANDBOOK OF MODEL PREDICTIVE CONTROL-

Edit� par Springer (India) Private Limited, 2018

ISBN 10 : 3319774883 ISBN 13 : 9783319774886

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Vendeur : Books Puddle, New York, NY, Etats-Unis

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Handbook of Model Predictive Control (Control Engineering)

Rakovi, Sa?a V.

Edit� par Birkh?user, 2018

ISBN 10 : 3319774883 ISBN 13 : 9783319774886

Neuf Couverture rigide Edition originale

Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande

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Etat : New. 2018. 1st ed. 2019. hardcover. . . . . . N� de r�f. du vendeur V9783319774886

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Handbook of Model Predictive Control

Sa�a V. Rakovi�

Edit� par Birkh�user, Springer Sep 2018, 2018

ISBN 10 : 3319774883 ISBN 13 : 9783319774886

Neuf Couverture rigide

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Theory.- The Essentials of Model Predictive Control (MPC).- Dynamic Programming and MPC.- Set-valued and Lyapunov Methods for MPC.- Stochastic Model Predictive Control.- Moving Horizon Estimation.- Probing and Duality in Stochastic Model Predictive Control.- Economic Model Predictive Control: Some Design Tools and Analysis Techniques.- Nonlinear Predictive Control for Trajectory Tracking and Path Following: An Introduction and Perspective.- Hybrid Model Predictive Control.- Model Predictive Control of Polynomial Systems.- Distributed MPC for Large-Scale Systems.- Scalable MPC Design.- Computations.- Efficient Convex Optimization for Linear MPC.- Implicit Non-Convex Model Predictive Control.- Convexification and Real-Time Optimization for MPC with Aerospace Applications.- Explicit (Offline) Optimization for MPC.- Real-Time Implementation of Explicit Model Predictive Control.- Robust Optimization for MPC.- Scenario Optimization for MPC.- Nonlinear Programming Formulations for Nonlinear and Economic Model Predictive Control.- Applications.- Automotive Applications of Model Predictive Control.- Applications of MPC in the Area of Health Care.- Model Predictive Control for Power Electronics Applications.- Learning-based Fast Nonlinear Model Predictive Control for Custom-made 3D Printed Ground and Aerial Robots.- Applications of MPC to Building HVAC Systems.- Toward Multi-Layered MPC for Complex Electric Energy Systems.- Applications of MPC to Finance.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 716 pp. Englisch. N� de r�f. du vendeur 9783319774886

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Handbook of Model Predictive Control

Sa�a V. Rakovi�

Edit� par Birkh�user, Springer, 2018

ISBN 10 : 3319774883 ISBN 13 : 9783319774886

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Recent developments in model-predictive control promise remarkable opportunities for designing multi-input, multi-output control systems and improving the control of single-input, single-output systems. This volume provides a definitive survey of the latest model-predictive control methods available to engineers and scientists today. The initial set of chapters present various methods for managing uncertainty in systems, including stochastic model-predictive control. With the advent of affordable and fast computation, control engineers now need to think about using 'computationally intensive controls,' so the second part of this book addresses the solution of optimization problems in 'real' time for model-predictive control. The theory and applications of control theory often influence each other, so the last section of Handbook of Model Predictive Control rounds out the book with representative applications to automobiles, healthcare, robotics, and finance.The chapters in this volume will be useful to working engineers, scientists, and mathematicians, as well as students and faculty interested in the progression of control theory. Future developments in MPC will no doubt build from concepts demonstrated in this book and anyone with an interest in MPC will find fruitful information and suggestions for additional reading. N� de r�f. du vendeur 9783319774886

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