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Control of Complex Systems, Jagannathan, Sarangapani


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Цена: 23244.00р.
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Автор: Jagannathan, Sarangapani
Название:  Control of Complex Systems
ISBN: 9780128052464
Издательство: Elsevier Science
Классификация:

ISBN-10: 0128052465
Обложка/Формат: Hardback
Страницы: 752
Вес: 1.34 кг.
Дата издания: 27.07.2016
Язык: English
Размер: 231 x 152 x 43
Подзаголовок: Theory and applications
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Европейский союз
Описание:

In the era of cyber-physical systems, the area of control of complex systems has grown to be one of the hardest in terms of algorithmic design techniques and analytical tools. The 23 chapters, written by international specialists in the field, cover a variety of interests within the broader field of learning, adaptation, optimization and networked control. The editors have grouped these into the following 5 sections: Introduction and Background on Control Theory, Adaptive Control and Neuroscience, Adaptive Learning Algorithms, Cyber-Physical Systems and Cooperative Control, Applications. The diversity of the research presented gives the reader a unique opportunity to explore a comprehensive overview of a field of great interest to control and system theorists.

This book is intended for researchers and control engineers in machine learning, adaptive control, optimization and automatic control systems, including Electrical Engineers, Computer Science Engineers, Mechanical Engineers, Aerospace/Automotive Engineers, and Industrial Engineers. It could be used as a text or reference for advanced courses in complex control systems.

- Collection of chapters from several well-known professors and researchers that will showcase their recent work

- Presents different state-of-the-art control approaches and theory for complex systems

- Gives algorithms that take into consideration the presence of modelling uncertainties, the unavailability of the model, the possibility of cooperative/non-cooperative goals and malicious attacks compromising the security of networked teams

- Real system examples and figures throughout, make ideas concrete


  • Includes chapters from several well-known professors and researchers that showcases their recent work
  • Presents different state-of-the-art control approaches and theory for complex systems
  • Explores the presence of modelling uncertainties, the unavailability of the model, the possibility of cooperative/non-cooperative goals, and malicious attacks compromising the security of networked teams
  • Serves as a helpful reference for researchers and control engineers working with machine learning, adaptive control, and automatic control systems



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: 20901.00 р.
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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.

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: 36570.00 р.
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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.

Control of Complex Systems

Автор: Astrom, K.J.
Название: Control of Complex Systems
ISBN: 1852333243 ISBN-13(EAN): 9781852333249
Издательство: Springer
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Цена: 22359.00 р.
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Описание: The world of artificial systems is reaching complexity levels that es- cape human understanding. ESF covers has standing committees in Medical Sci- ences, Life and Environmental Sciences, Physical and Engineering Sci- ences, Humanities and Social Sciences.

Neural Networks for Modelling and Control of Dynamic Systems / A Practitioner`s Handbook

Автор: Norgaard M., Ravn O., Poulsen N.K., Hansen L.K.
Название: Neural Networks for Modelling and Control of Dynamic Systems / A Practitioner`s Handbook
ISBN: 1852332271 ISBN-13(EAN): 9781852332273
Издательство: Springer
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Цена: 11179.00 р.
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Описание: The technology of neural networks has attracted much attention in recent years. Their ability to learn nonlinear relationships is widely appreciated and is utilized in many different types of applications; modelling of dynamic systems, signal processing, and control system design being some of the most common. The theory of neural computing has matured considerably over the last decade and many problems of neural network design, training and evaluation have been resolved. This book provides a comprehensive introduction to the most popular class of neural network, the multilayer perceptron, and shows how it can be used for system identification and control. It aims to provide the reader with a sufficient theoretical background to understand the characteristics of different methods, to be aware of the pit-falls and to make proper decisions in all situations. The subjects treated include: System identification: multilayer perceptrons; how to conduct informative experiments; model structure selection; training methods; model validation; pruning algorithms. Control: direct inverse, internal model, feedforward, optimal and predictive control; feedback linearization and instantaneous-linearization-based controllers. Case studies: prediction of sunspot activity; modelling of a hydraulic actuator; control of a pneumatic servomechanism; water-level control in a conical tank. The book is very application-oriented and gives detailed and pragmatic recommendations that guide the user through the plethora of methods suggested in the literature. Furthermore, it attempts to introduce sound working procedures that can lead to efficient neural network solutions. This will make the book invaluable to the practitioner and as a textbook in courses with a significant hands-on component.

Variable Structure Control of Complex Systems

Автор: Yan
Название: Variable Structure Control of Complex Systems
ISBN: 3319489615 ISBN-13(EAN): 9783319489612
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book systematizes recent research work on variable-structure control. It is self-contained, presenting necessary mathematical preliminaries so that the theoretical developments can be easily understood by a broad readership.The text begins with an introduction to the fundamental ideas of variable-structure control pertinent to their application in complex nonlinear systems. In the core of the book, the authors lay out an approach, suitable for a large class of systems, that deals with system uncertainties with nonlinear bounds. Its treatment of complex systems in which limited measurement information is available makes the results developed convenient to implement. Various case-study applications are described, from aerospace, through power systems to river pollution control with supporting simulations to aid the transition from mathematical theory to engineering practicalities.The book addresses systems with nonlinearities, time delays and interconnections and considers issues such as stabilization, observer design, and fault detection and isolation. It makes extensive use of numerical and practical examples to render its ideas more readily absorbed.Variable-Structure Control of Complex Systems will be of interest to academic researchers studying control theory and its application in nonlinear, time-delayed an modular large-scale systems; the robustness of its approach will also be attractive to control engineers working in industries associate with aerospace, electrical and mechanical engineering.


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