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Stable Adaptive Neural Network Control, S.S. Ge; C.C. Hang; T.H. Lee; Tao Zhang


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Автор: S.S. Ge; C.C. Hang; T.H. Lee; Tao Zhang
Название:  Stable Adaptive Neural Network Control
ISBN: 9780792375975
Издательство: Springer
Классификация:
ISBN-10: 0792375971
Обложка/Формат: Hardcover
Страницы: 282
Вес: 0.60 кг.
Дата издания: 30.11.2001
Серия: The International Series on Asian Studies in Computer and Information Science
Язык: English
Размер: 234 x 156 x 18
Основная тема: Physics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: A study of stable adaptive control designs using approximation-based techniques. It presents analysis for system stability and control performance. It also discusses linearly parameterized and multi-layer neural networks (NN).


Adaptive control

Автор: Landau, Ioan Dore Lozano, Rogelio M`saad, Mohammed
Название: Adaptive control
ISBN: 0857296639 ISBN-13(EAN): 9780857296634
Издательство: Springer
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Цена: 22359.00 р.
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Описание: Adaptive Control (second edition) shows how a desired level of system performance can be maintained automatically and in real time, even when process or disturbance parameters are unknown and variable. It is a coherent exposition of the many aspects of this field, setting out the problems to be addressed and moving on to solutions, their practical significance and their application. Discrete-time aspects of adaptive control are emphasized to reflect the importance of digital computers in the application of the ideas presented. The second edition is thoroughly revised to throw light on recent developments in theory and applications with new chapters on: multimodel adaptive control with switching, direct and indirect adaptive regulation and adaptive feedforward disturbance compensation. Many algorithms are newly presented in MATLAB® m-file format to facilitate their employment in real systems. Classroom-tested slides for instructors to use in teaching this material are also now provided. All of this supplementary electronic material can be downloaded from fill in URL. The core material is also up-dated and re-edited to keep its perspective in line with modern ideas and more closely to associate algorithms with their applications giving the reader a solid grounding in: synthesis and analysis of parameter adaptation algorithms, recursive plant model identification in open and closed loop, robust digital control for adaptive control; • robust parameter adaptation algorithms, practical considerations and applications, including flexible transmission systems, active vibration control and broadband disturbance rejection and a supplementary introduction on hot dip galvanizing and a phosphate drying furnace. Control researchers and applied mathematicians will find Adaptive Control of significant and enduring interest and its use of example and application will appeal to practitioners working with unknown- and variable-parameter plant. Praise for the first edition: …well written, interesting and easy to follow, so that it constitutes a valuable addition to the monographies in adaptive control for discrete-time linear systems… suitable (at least in part) for use in graduate courses in adaptive control.

Active Structural Control with Stable Fuzzy PID Techniques

Автор: Yu, Wen, Thenozhi, Suresh
Название: Active Structural Control with Stable Fuzzy PID Techniques
ISBN: 3319280244 ISBN-13(EAN): 9783319280240
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Introduction.- Active Structural Control.- Position and Velocity Estimation.- Stable PID Active Control of Building Structures.- Fuzzy PID Control of Building Structures.- Fuzzy Sliding-Mode Control for Wind-Induced Vibration.- Conclusions.

Adaptive Control with Recurrent High-order Neural Networks

Автор: George A. Rovithakis; Manolis A. Christodoulou
Название: Adaptive Control with Recurrent High-order Neural Networks
ISBN: 1447112016 ISBN-13(EAN): 9781447112013
Издательство: Springer
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Цена: 18167.00 р.
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Описание: The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies ...

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems

Автор: Jinkun Liu
Название: Radial Basis Function (RBF) Neural Network Control for Mechanical Systems
ISBN: 3642348157 ISBN-13(EAN): 9783642348150
Издательство: Springer
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Цена: 23508.00 р.
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Описание: This book introduces concrete design methods and MATLAB simulations of stable adaptive Radial Basis Function (RBF) neural control strategies. It presents a broad range of implementable neural network control design methods for mechanical systems.

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems

Автор: Jinkun Liu
Название: Radial Basis Function (RBF) Neural Network Control for Mechanical Systems
ISBN: 364243455X ISBN-13(EAN): 9783642434556
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This book introduces concrete design methods and MATLAB simulations of stable adaptive Radial Basis Function (RBF) neural control strategies. It presents a broad range of implementable neural network control design methods for mechanical systems.

Neural Network Engineering in Dynamic Control Systems

Автор: Kenneth J. Hunt; George R. Irwin; Kevin Warwick
Название: Neural Network Engineering in Dynamic Control Systems
ISBN: 1447130685 ISBN-13(EAN): 9781447130680
Издательство: Springer
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Цена: 12157.00 р.
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Описание: The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, ....


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