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Neural Networks for Identification, Prediction and Control, Duc T. Pham; Xing Liu


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Автор: Duc T. Pham; Xing Liu
Название:  Neural Networks for Identification, Prediction and Control
ISBN: 9781447132462
Издательство: Springer
Классификация:






ISBN-10: 1447132467
Обложка/Формат: Paperback
Страницы: 238
Вес: 0.36 кг.
Дата издания: 12.12.2012
Язык: English
Размер: 234 x 156 x 14
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: In recent years, there has been a growing interest in applying neural networks to dynamic systems identification (modelling), prediction and control. The neural network types considered in detail are the muhilayer perceptron (MLP), the Elman and Jordan networks and the Group-Method-of-Data-Handling (GMDH) network.


Fuzzy Control and Identification

Автор: Lilly
Название: Fuzzy Control and Identification
ISBN: 0470542772 ISBN-13(EAN): 9780470542774
Издательство: Wiley
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Цена: 16782.00 р.
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Описание: A fuzzy control system is a control system based on fuzzy logic, which is a mathematical system that analyzes analog input values in terms of logical variables that take on continuous values between 0 and 1. This text provides a broad introduction to fuzzy control and identification, covering both Mamdani and Takagi-Sugeno fuzzy systems.

System Identification and Adaptive Control

Автор: Yiannis Boutalis; Dimitrios Theodoridis; Theodore
Название: System Identification and Adaptive Control
ISBN: 3319063634 ISBN-13(EAN): 9783319063638
Издательство: Springer
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Цена: 22203.00 р.
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Описание: Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control.

Neural Networks for Cooperative Control of Multiple Robot Arms

Автор: Shuai Li; Yinyan Zhang
Название: Neural Networks for Cooperative Control of Multiple Robot Arms
ISBN: 9811070369 ISBN-13(EAN): 9789811070365
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed neural network models, presenting methods and algorithms together with the corresponding theoretical analysis and simulated examples.

System Identification and Adaptive Control

Автор: Yiannis Boutalis; Dimitrios Theodoridis; Theodore
Название: System Identification and Adaptive Control
ISBN: 3319354124 ISBN-13(EAN): 9783319354125
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control.

Kinematic Modeling, Identification, and Control of Robotic Manipulators

Автор: Henry W. Stone
Название: Kinematic Modeling, Identification, and Control of Robotic Manipulators
ISBN: 0898382378 ISBN-13(EAN): 9780898382372
Издательство: Springer
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Цена: 26122.00 р.
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Описание: The objective of this dissertation is to advance the state-of-the-art in the kinematic modeling, identification, and control of robotic manipulators with rigid links in an effort to improve robot kinematic performance.

Identification and Control

Автор: Ricardo S. S?nchez-Pe?a; Joseba Quevedo Cas?n; Vic
Название: Identification and Control
ISBN: 1846288983 ISBN-13(EAN): 9781846288982
Издательство: Springer
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Цена: 20263.00 р.
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Описание: Focusing on the difficulty of making practical use of new systems theory, this book shows how workable identification and control solutions can be derived by adapting and extrapolating from the theory. Each chapter has a common structure: a brief presentation of theory; the description of a particular application; and experimental results.

Robustness in Identification and Control

Автор: Andrea Garulli; Alberto Tesi; Antonio Vicino
Название: Robustness in Identification and Control
ISBN: 1852331798 ISBN-13(EAN): 9781852331795
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This book comprises a selection of papers that were first presented at the Robustness in Identification and Control Workshop, held in Siena, July 30 - August 2, 1998. Papers cover recent developments in research areas such as identification for control and the classical area of robust control.

Process Modelling, Identification, and Control

Автор: J?n Mikle?; Miroslav Fikar
Название: Process Modelling, Identification, and Control
ISBN: 3642091121 ISBN-13(EAN): 9783642091124
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Control and automation in its broadest sense plays a fundamental role in process industries. Control assures stability of technologies, disturbance - tenuation, safety of equipment and environment as well as optimal process operation from economic point of view. This book intends to present modern automatic control methods and their applications in process control in p- cess industries. The processes studied mainly involve mass and heat transfer processes and chemical reactors. It is assumed that the reader has already a basic knowledge about c- trolled processes and about di?erential and integral calculus as well as about matrixalgebra.Automaticcontrolproblemsinvolvemathematicsmorethanit is usual in other engineering disciplines. The book treats problems in a similar way as it is in mathematics. The problem is formulated at ?rst, then the t- orem is stated. Only necessary conditions are usually proved and su?ciency is left aside as it follows from the physical nature of the problem solved. This helps to follow the engineering character of problems. The intended audience of this book includes graduate students but can also be of interest to practising engineers or applied scientists.

Intelligent Control Based on Flexible Neural Networks

Автор: M. Teshnehlab; Watanabe Kyoko
Название: Intelligent Control Based on Flexible Neural Networks
ISBN: 0792356837 ISBN-13(EAN): 9780792356837
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The use of flexible sigmoid functions makes artificial neural networks more versatile. This volume determines learning algorithms for sigmoid functions in several different learning modes using flexible structures of neural networks with new derivation algorithms. It is aimed at electrical, electronic, and mechanical control and systems engineers.

Identification and Control

Автор: Ricardo S. S?nchez-Pe?a; Joseba Quevedo Cas?n; Vic
Название: Identification and Control
ISBN: 1849966702 ISBN-13(EAN): 9781849966702
Издательство: Springer
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Цена: 20263.00 р.
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Описание: This book meets head-on the difficulty of making practical use of new systems theory, presenting a selection of varied applications together with relevant theory. It shows how workable identification and control solutions can be derived by adapting and extrapolating from the theory.


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