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Añadir al carritoCondición: New. KlappentextrnrnThis book provides elucidative information regarding Model Predictive Control (MPC). Model predictive control is that part of control algorithms in which a progressive method structure is utilized to foretell and improve process w.
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Añadir al carritoTaschenbuch. Condición: Neu. Handbook of Model Predictive Control | Sa¿a V. Rakovi¿ (u. a.) | Taschenbuch | Control Engineering | xxi | Englisch | 2019 | Springer | EAN 9783030084660 | Verantwortliche Person für die EU: Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Añadir al carritoTaschenbuch. Condición: 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.
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Añadir al carritoBuch. Condición: 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.
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Publicado por ML Books International - IPS, 2015
ISBN 10: 1632403536 ISBN 13: 9781632403537
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides elucidative information regarding Model Predictive Control (MPC). Model predictive control is that part of control algorithms in which a progressive method structure is utilized to foretell and improve process work. Also, it can be viewed as an expression demonstrating a typical restrain scheme that replicates the human thinking capability most efficiently. Nearly 50 years after its origin, it is vastly being welcomed in lot of spheres of engineering and is proving to be very advantageous. The book focuses on the latest developments in the field of MPC, in practice and theory, and structured in a way to provide in-depth knowledge to the practitioners and discoverers who want to gain information about the perimeters of MPC research. The book deals with the limits of MPC in theory and provides enough examples to enable us to understand them. It also portrays the practical usage of MPC in recent engineering spheres. As analytical and structural technology is growing rapidly, MPC will remain at the forefront even in the future.