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Networked and Distributed Predictive Control, Panagiotis D. Christofides; Jinfeng Liu; David Mu?


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Автор: Panagiotis D. Christofides; Jinfeng Liu; David Mu?
Название:  Networked and Distributed Predictive Control
ISBN: 9781447126485
Издательство: Springer
Классификация:





ISBN-10: 1447126483
Обложка/Формат: Paperback
Страницы: 232
Вес: 0.38 кг.
Дата издания: 29.05.2013
Серия: Advances in Industrial Control
Язык: English
Размер: 239 x 234 x 19
Основная тема: Engineering
Подзаголовок: Methods and Nonlinear Process Network Applications
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book offers rigorous, yet practical, methods for the design of networked and distributed predictive control systems, including new techniques for system design, insight into likely issues and challenges, and integrated exposition of novel research topics.


Model Predictive Control

Автор: Camacho
Название: Model Predictive Control
ISBN: 1852336943 ISBN-13(EAN): 9781852336943
Издательство: Springer
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Цена: 9781.00 р.
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Описание: The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners.

Nonlinear Model Predictive Control

Автор: Grune
Название: Nonlinear Model Predictive Control
ISBN: 0857295004 ISBN-13(EAN): 9780857295002
Издательство: Springer
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Цена: 22359.00 р.
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Описание: Nonlinear Model Predictive Control is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. NMPC schemes with and without stabilizing terminal constraints are detailed and intuitive examples illustrate the performance of different NMPC variants. An introduction to nonlinear optimal control algorithms gives insight into how the nonlinear optimisation routine – the core of any NMPC controller – works. An appendix covering NMPC software and accompanying software in MATLAB® and C++(downloadable from www.springer.com/ISBN) enables readers to perform computer experiments exploring the possibilities and limitations of NMPC.

Model Predictive Control of Wind Energy Conversion  Systems

Автор: Venkata Yaramasu, Bin Wu
Название: Model Predictive Control of Wind Energy Conversion Systems
ISBN: 1118988582 ISBN-13(EAN): 9781118988589
Издательство: Wiley
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Цена: 18842.00 р.
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Описание:

Model Predictive Control of Wind Energy Conversion Systems addresses the predicative control strategy that has emerged as a promising digital control tool within the field of power electronics, variable-speed motor drives, and energy conversion systems.

The authors provide a comprehensive analysis on the model predictive control of power converters employed in a wide variety of variable-speed wind energy conversion systems (WECS). The contents of this book includes an overview of wind energy system configurations, power converters for variable-speed WECS, digital control techniques, MPC, modeling of power converters and wind generators for MPC design. Other topics include the mapping of continuous-time models to discrete-time models by various exact, approximate, and quasi-exact discretization methods, modeling and control of wind turbine grid-side two-level and multilevel voltage source converters. The authors also focus on the MPC of several power converter configurations for full variable-speed permanent magnet synchronous generator based WECS, squirrel-cage induction generator based WECS, and semi-variable-speed doubly fed induction generator based WECS. Furthermore, this book:

  • Analyzes a wide variety of practical WECS, illustrating important concepts with case studies, simulations, and experimental results
  • Provides a step-by-step design procedure for the development of predictive control schemes for various WECS configurations
  • Describes continuous- and discrete-time modeling of wind generators and power converters, weighting factor selection, discretization methods, and extrapolation techniques
  • Presents useful material for other power electronic applications such as variable-speed motor drives, power quality conditioners, electric vehicles, photovoltaic energy systems, distributed generation, and high-voltage direct current transmission.
  • Explores S-Function Builder programming in MATLAB environment to implement various MPC strategies through the companion website

Reflecting the latest technologies in the field, Model Predictive Control of Wind Energy Conversion Systems is a valuable reference for academic researchers, practicing engineers, and other professionals. It can also be used as a textbook for graduate-level and advanced undergraduate courses.

Distributed Model Predictive Control Made Easy

Автор: Jos? M. Maestre; Rudy R. Negenborn
Название: Distributed Model Predictive Control Made Easy
ISBN: 9402407146 ISBN-13(EAN): 9789402407143
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book provides a state-of-the-art overview of distributed model predictive control (MPC) approaches. It carefully explains the core and rationale of 35 approaches, providing detailed step-by-step algorithmic descriptions of each approach.

Distributed model predictive control made easy

Название: Distributed model predictive control made easy
ISBN: 9400770057 ISBN-13(EAN): 9789400770058
Издательство: Springer
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Цена: 23508.00 р.
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Описание: Distributed Model Predictive Control Made Easy

Hybrid Predictive Control for Dynamic Transport Problems

Автор: Alfredo Nunez; Doris Saez; Cristi?n E. Cort?s
Название: Hybrid Predictive Control for Dynamic Transport Problems
ISBN: 1447159403 ISBN-13(EAN): 9781447159407
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book develops methods for the design of predictive control strategies for nonlinear-dynamic hybrid discrete-/continuous-variable systems. The methodology is designed for real-time applications, particularly the study of dynamic transport systems.

Nonlinear Model Predictive Control

Автор: Frank Allg?wer; Alex Zheng
Название: Nonlinear Model Predictive Control
ISBN: 3034895542 ISBN-13(EAN): 9783034895545
Издательство: Springer
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Цена: 20962.00 р.
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Описание: During the past decade model predictive control (MPC), also referred to as receding horizon control or moving horizon control, has become the preferred control strategy for quite a number of industrial processes.

Lasso-MPC – Predictive Control with ?1-Regularised Least Squares

Автор: Marco Gallieri
Название: Lasso-MPC – Predictive Control with ?1-Regularised Least Squares
ISBN: 3319279610 ISBN-13(EAN): 9783319279619
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This thesis proposes a novel Model Predictive Control (MPC) strategy, which modifies the usual MPC cost function in order to achieve a desirable sparse actuation.

Automotive Model Predictive Control

Автор: Luigi Del Re; Frank Allg?wer; Luigi Glielmo; Carlo
Название: Automotive Model Predictive Control
ISBN: 1849960704 ISBN-13(EAN): 9781849960700
Издательство: Springer
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Цена: 20896.00 р.
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Описание: The proceedings of the Automotive Model Predictive Control: Models, Methods and Applications workshop investigates whether constrained predictive control is reasonable in automotive control and what is necessary for its application.

Model Predictive Control of Wastewater Systems

Автор: Carlos Ocampo-Martinez
Название: Model Predictive Control of Wastewater Systems
ISBN: 1447157184 ISBN-13(EAN): 9781447157182
Издательство: Springer
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Цена: 16977.00 р.
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Описание: This book shows how sewage systems can be modeled and controlled within the framework of model predictive control (MPC). A MATLAB(R) toolbox (available for download) will assist readers in implementing the MPC methods described within a sewer network.


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