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Model Predictive Control System Design and Implementation Using MATLAB®, Liuping Wang



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Автор: Liuping Wang
Название:  Model Predictive Control System Design and Implementation Using MATLAB®
ISBN: 9781848823303
Издательство: Springer
Классификация:
ISBN-10: 1848823304
Обложка/Формат: Hardback
Страницы: 406
Вес: 0.771 кг.
Дата издания: 01.05.2009
Серия: Advances in industrial control
Язык: English
Иллюстрации: 104 black & white illustrations, 12 black & white tables
Размер: 238.80 x 162.60 x 25.40
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии



Robust Control Design with MATLAB®

Автор: Gu
Название: Robust Control Design with MATLAB®
ISBN: 1852339837 ISBN-13(EAN): 9781852339838
Издательство: Springer
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Цена: 6924 р.
Наличие на складе: Поставка под заказ.

Описание: Helps you learn how to use well-developed robust control design methods in practical cases. This title details realistic control design examples from teaching-laboratory experiments, such as a mass `damper` spring assembly, to complex systems like a flexible-link manipulator.

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: 14031 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.

Model Predictive Control

Автор: Camacho
Название: Model Predictive Control
ISBN: 1852336943 ISBN-13(EAN): 9781852336943
Издательство: Springer
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Цена: 8084 р.
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Описание: Offers an introduction to theoretical and practical aspects of the various MPC strategies. This book attempts to bridge the gap between the techniques of control researchers and the empirical approach of practitioners. It features material on several subjects including commercial MPC schemes. It is intended for students and researchers.

Nonlinear Model Predictive Control

Автор: Grune
Название: Nonlinear Model Predictive Control
ISBN: 0857295004 ISBN-13(EAN): 9780857295002
Издательство: Springer
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Цена: 18479 р.
Наличие на складе: Поставка под заказ.

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.

Explicit Nonlinear Model Predictive Control

Автор: Grancharova
Название: Explicit Nonlinear Model Predictive Control
ISBN: 3642287794 ISBN-13(EAN): 9783642287794
Издательство: Springer
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Цена: 12952 р.
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Описание: Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process industries. The main motivation behind explicit NMPC is that an explicit state feedback law avoids the need for executing a numerical optimization algorithm in real time. The benefits of an explicit solution, in addition to the efficient on-line computations, include also verifiability of the implementation and the possibility to design embedded control systems with low software and hardware complexity.This book considers the multi-parametric Nonlinear Programming (mp-NLP) approaches to explicit approximate NMPC of constrained nonlinear systems, developed by the authors, as well as their applications to various NMPC problem formulations and several case studies. The following types of nonlinear systems are considered, resulting in different NMPC problem formulations:?  Nonlinear systems described by first-principles models and nonlinear systems described by black-box models;-  Nonlinear systems with continuous control inputs and nonlinear systems with quantized control inputs;-  Nonlinear systems without uncertainty and nonlinear systems with uncertainties (polyhedral description of uncertainty and stochastic description of uncertainty);-  Nonlinear systems, consisting of interconnected nonlinear sub-systems.The proposed mp-NLP approaches are illustrated with applications to several case studies, which are taken from diverse areas such as automotive mechatronics, compressor control, combustion plant control, reactor control, pH maintaining system control, cart and spring system control, and diving computers. 

Assessment and Future Directions of Nonlinear Model Predictive Control

Автор: Findeisen Rolf, AllgГ¶wer Frank, Biegler Lorenz
Название: Assessment and Future Directions of Nonlinear Model Predictive Control
ISBN: 3540726985 ISBN-13(EAN): 9783540726982
Издательство: Springer
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Цена: 17324 р.
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Описание: Thepastthree decadeshaveseenrapiddevelopmentin the areaofmodelpred- tive control with respect to both theoretical and application aspects. This is one of the reasons why nonlinear model predictive control (NMPC) has - joyed signi?cant attention over the past years,with a number of recent advances on both the theoretical and application frontier.

Linear Control System Analysis and Design with MATLAB®, Sixth Edition

Автор: Houpis
Название: Linear Control System Analysis and Design with MATLAB®, Sixth Edition
ISBN: 1466504269 ISBN-13(EAN): 9781466504264
Издательство: Taylor&Francis
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Цена: 17188 р.
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Описание: Thoroughly classroom-tested and proven to be a valuable self-study companion, Linear Control System Analysis and Design: Sixth Edition provides an intensive overview of modern control theory and conventional control system design using in-depth explanations, diagrams, calculations, and tables. Keeping mathematics to a minimum, the book is designed with the undergraduate in mind, first building a foundation, then bridging the gap between control theory and its real-world application. Computer-aided design accuracy checks (CADAC) are used throughout the text to enhance computer literacy. Each CADAC uses fundamental concepts to ensure the viability of a computer solution. Completely updated and packed with student-friendly features, the sixth edition presents a range of updated examples using MATLAB®, as well as an appendix listing MATLAB functions for optimizing control system analysis and design. Over 75 percent of the problems presented in the previous edition have been revised or replaced.

Nonlinear Model Predictive Control

Автор: Lalo Magni; Davide Martino Raimondo; Frank Allg?we
Название: Nonlinear Model Predictive Control
ISBN: 3642010938 ISBN-13(EAN): 9783642010934
Издательство: Springer
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Цена: 18349 р.
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Описание: Over the years significant progress has been achieved in the field of nonlinear model predictive control (NMPC), also referred to as receding horizon control or moving horizon control. This book assesses the status of the NMPC field and discusses future directions and needs.

Model Predictive Control of High Power Converters and Industrial Drives

Автор: Geyer
Название: Model Predictive Control of High Power Converters and Industrial Drives
ISBN: 111901090X ISBN-13(EAN): 9781119010906
Издательство: Wiley
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Цена: 12643 р.
Наличие на складе: Поставка под заказ.

Описание: In this original book on model predictive control (MPC) for power electronics, the focus is put on high-power applications with multilevel converters operating at switching frequencies well below 1 kHz, such as medium-voltage drives and modular multi-level converters.

Economic Model Predictive Control

Автор: Ellis
Название: Economic Model Predictive Control
ISBN: 3319411071 ISBN-13(EAN): 9783319411071
Издательство: Springer
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Цена: 16169 р.
Наличие на складе: Поставка под заказ.

Описание: This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational efficiency. Specifically, the book proposes:Lyapunov-based EMPC methods for nonlinear systems; two-tier EMPC architectures that are highly computationally efficient; and EMPC schemes handling explicitly uncertainty, time-varying cost functions, time-delays and multiple-time-scale dynamics.The proposed methods employ a variety of tools ranging from nonlinear systems analysis, through Lyapunov-based control techniques to nonlinear dynamic optimization. The applicability and performance of the proposed methods are demonstrated through a number of chemical process examples.The book presents state-of-the-art methods for the design of economic model predictive control systems for chemical processes.In addition to being mathematically rigorous, these methods accommodate key practical issues, for example, direct optimization of process economics, time-varying economic cost functions and computational efficiency. Numerous comments and remarks providing fundamental understanding of the merging of process economics and feedback control into a single framework are included. A control engineer can easily tailor the many detailed examples of industrial relevance given within the text to a specific application.The authors present a rich collection of new research topics and references to significant recent work making Economic Model Predictive Control an important source of information and inspiration for academics and graduate students researching the area and for process engineers interested in applying its ideas.

Nonlinear Model Predictive Control

Автор: Lars Gr?ne; J?rgen Pannek
Название: Nonlinear Model Predictive Control
ISBN: 3319460234 ISBN-13(EAN): 9783319460239
Издательство: Springer
Рейтинг:
Цена: 12704 р.
Наличие на складе: Поставка под заказ.

Описание:

This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC schemes with and without stabilizing terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC variants. 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.
An introduction to nonlinear optimal control algorithms yields essential insights into how the nonlinear optimization routine—the core of any nonlinear model predictive controller—works. Accompanying software in MATLAB® and C++ (downloadable from extras.springer.com/), together with an explanatory appendix in the book itself, enables readers to perform computer experiments exploring the possibilities and limitations of NMPC.
The second edition has been substantially rewritten, edited and updated to reflect the significant advances that have been made since the publication of its predecessor, including:
• a new chapter on economic NMPC relaxing the assumption that the running cost penalizes the distance to a pre-defined equilibrium;
• a new chapter on distributed NMPC discussing methods which facilitate the control of large-scale systems by splitting up the optimization into smaller subproblems;
• an extended discussion of stability and performance using approximate updates rather than full optimization;
• replacement of the pivotal sufficient condition for stability without stabilizing terminal conditions with a weaker alternative and inclusion of an alternative and much simpler proof in the analysis; and
• further variations and extensions in response to suggestions from readers of the first edition.
Though primarily aimed at academic researchers and practitioners working in control and optimization, the text is self-contained, featuring background material on infinite-horizon optimal control and Lyapunov stability theory that also makes it accessible for graduate students in control engineering and applied mathematics.
Distributed Model Predictive Control for Plant?€“Wide Systems

Автор: Shaoyuan Li,Yi Zheng
Название: Distributed Model Predictive Control for Plant?€“Wide Systems
ISBN: 1118921569 ISBN-13(EAN): 9781118921562
Издательство: Wiley
Рейтинг:
Цена: 15125 р.
Наличие на складе: Поставка под заказ.

Описание: In this book, experienced researchers gave a thorough explanation of distributed model predictive control (DMPC): its basic concepts, technologies, and implementation in plant?“wide systems. Known for its error tolerance, high flexibility, and good dynam


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