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Time-Delay Systems 2004, Michiels


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Цена: 98250.00T
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Автор: Michiels
Название:  Time-Delay Systems 2004
Перевод названия: Cистемы задержки времени
ISBN: 9780080445830
Издательство: Elsevier Science
Классификация:

ISBN-10: 0080445837
Обложка/Формат: Paperback
Страницы: 284 pages, Illustrations
Вес: 0.00 кг.
Дата издания: 15/01/2005
Размер: 297 x 210 mm
Читательская аудитория: Professional & Vocational
Ссылка на Издательство: Link
Поставляется из: Европейский союз

Consensus Problem of Delayed Linear Multi-agent Systems

Автор: Liu
Название: Consensus Problem of Delayed Linear Multi-agent Systems
ISBN: 981102491X ISBN-13(EAN): 9789811024917
Издательство: Springer
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Цена: 51230.00 T
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Описание: In the context of coupled-coordination control mechanisms, this book focuses on the delay robustness of consensus problems with asynchronously coupled and synchronously coupled consensus algorithms respectively.

Control of Electric Machine Drive Systems

Автор: Sul
Название: Control of Electric Machine Drive Systems
ISBN: 0470590793 ISBN-13(EAN): 9780470590799
Издательство: Wiley
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Цена: 139340.00 T
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Описание: Based on the author`s industry experience and collaborative works with other industries, Control of Electric Machine Drive System is packed with implemented, tested, and verified ideas that relate to everyday problems in the field.

Linear Time Varying Systems and Sampled-data Systems

Автор: Ichikawa Akira, Katayama Hitoshi
Название: Linear Time Varying Systems and Sampled-data Systems
ISBN: 1852334398 ISBN-13(EAN): 9781852334390
Издательство: Springer
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Цена: 172350.00 T
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Описание: This book gives an introduction to H-infinity and H2 control for linear time-varying systems. Chapter 2 is concerned with continuous-time systems while Chapter 3 is devoted to discrete-time systems.The main aim of this book is to develop the H-infinity and H2 theory for jump systems and to apply it to sampled-data systems. The jump system gives a natural state space representation of sampled-data systems, and original signals and parameters are maintained in the new system. Two earlier chapters serve as preliminaries. Chapter 4 introduces jump systems and develops the H-infinity and H2 theory for them. It is then applied to sampled-data systems in Chapter 5.The new features of this book are as follows: The H-infinity control theory is developed for time-varying systems with initial uncertainty. Recent results on the relation of three Riccati equations are included. The H2 theory usually given for time-invariant systems is extended to time-varying systems. The H-infinity and H2 theory for sampled-data systems is established from the jump system point of view. Extension of the theory to infinite dimensional systems and nonlinear systems is discussed. This covers the sampled-data system with first-order hold. In this book 16 examples and 40 figures of computer simulations are included.The reader can find the H-infinity and H2 theory for linear time-varying systems and sampled-data systems developed in a unified manner. Some arguments inherent to time varying systems or the jump system point of view to sampled-data systems may give new insights into the system theory of time-invariant systems and sampled-data systems.

Design and Control of Intelligent Robotic Systems

Автор: Dikai Liu; Lingfeng Wang; Kay Chen Tan (Eds.)
Название: Design and Control of Intelligent Robotic Systems
ISBN: 3540899324 ISBN-13(EAN): 9783540899327
Издательство: Springer
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Цена: 243800.00 T
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Описание: With the increasing applications of intelligent robotic systems in various ?elds, the - sign and control of these systems have increasingly attracted interest from researchers.

Neural Network Control of Nonlinear Discrete-Time Systems

Автор: Jagannathan Sarangapani
Название: Neural Network Control of Nonlinear Discrete-Time Systems
ISBN: 0824726774 ISBN-13(EAN): 9780824726775
Издательство: Taylor&Francis
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Цена: 224570.00 T
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Описание: Presents modern control techniques based on the parallelism and adaptive capabilities of biological nervous systems. This book builds from actuator nonlinearities and strict feedback in nonlinear systems to nonstrict feedback, system identification, and novel optimal control using the Hamilton-Jacobi-Bellman formulation.


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