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Neural Networks for Modelling and Control of Dynamic Systems / A Practitioner`s Handbook, Norgaard M., Ravn O., Poulsen N.K., Hansen L.K.



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Цена: 11179р.
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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: 9781852332273
Издательство: Springer
Классификация:
ISBN-10: 1852332271
Обложка/Формат: Paperback
Страницы: 260
Вес: 0.42 кг.
Дата издания: 10.02.2003
Серия: Advanced textbooks in control and signal processing
Язык: English
Издание: 1st ed. 2000. corr.
Иллюстрации: 33 illustrations, black and white; xiv, 246 p. 33 illus.
Размер: 23.39 x 15.60 x 1.40
Читательская аудитория: Professional & vocational
Подзаголовок: A practitioner`s handbook
Ссылка на Издательство: Link
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Поставляется из: Германии
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.
Дополнительное описание: Илюстрации: 84
Круг читателей: Graduate students, practitioners, scientists
Язык: eng
Издание: 1st ed. 2000. Corr. 3rd p
Оглавление: Introduction.- System Identification with Neural Networks.- Control with Neural Networks.- Case Studies.- References.- Index.





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 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.

Bond Graphs for Modelling, Control and Fault Diagnosis of Engineering Systems

Автор: Wolfgang Borutzky
Название: Bond Graphs for Modelling, Control and Fault Diagnosis of Engineering Systems
ISBN: 3319474332 ISBN-13(EAN): 9783319474335
Издательство: Springer
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Цена: 27950 р.
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Описание: This compilation of contributions from experts across the world addresses readers in academia and industry who are concerned with control system design. It covers theoretical topics, applications in various areas as well as software for bond graph modelling.

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 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.

A Theory of Learning and Generalization: With Applications to Neural Networks and Control Systems

Название: A Theory of Learning and Generalization: With Applications to Neural Networks and Control Systems
ISBN: 1849968675 ISBN-13(EAN): 9781849968676
Издательство: Springer
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Цена: 23508 р.
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Описание: How does a machine learn a new concept on the basis of examples? This second edition takes account of important new developments in the field. It also deals extensively with the theory of learning control systems, now comparably mature to learning of neural networks.

Flexible AC Transmission Systems: Modelling and Control

Автор: Xiao-Ping Zhang; Christian Rehtanz; Bikash Pal
Название: Flexible AC Transmission Systems: Modelling and Control
ISBN: 364244508X ISBN-13(EAN): 9783642445088
Издательство: Springer
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Цена: 23508 р.
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Описание:

The extended and revised second edition of this successful monograph presents advanced modeling, analysis and control techniques of Flexible AC Transmission Systems (FACTS). The book covers comprehensively a range of power-system control problems: from steady-state voltage and power flow control, to voltage and reactive power control, to voltage stability control, to small signal stability control using FACTS controllers.

In the six years since the first edition of the book has been published research on the FACTS has continued to flourish while renewable energy has developed into a mature and booming global green business. The second edition reflects the new developments in converter configuration, smart grid technologies, super power grid developments worldwide, new approaches for FACTS control design, new controllers for distribution system control, and power electronic controllers in wind generation operation and control. The latest trends of VSC-HVDC with multilevel architecture have been included and four completely new chapters have been added devoted to Multi-Agent Systems for Coordinated Control of FACTS-devices, Power System Stability Control using FACTS with Multiple Operating Points, Control of a Looping Device in a Distribution System, and Power Electronic Control for Wind Generation.


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