Intelligent Control Based on Flexible Neural Networks, M. Teshnehlab; Watanabe Kyoko

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.

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: 74530.00 T
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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.

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: 158380.00 T
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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.

Автор: C.H. Dagli
Название: Artificial Neural Networks for Intelligent Manufacturing
ISBN: 0412480506 ISBN-13(EAN): 9780412480508
Издательство: Springer
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Цена: 204040.00 T
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Описание: Artificial neural network technology is becoming an integral part of intelligent manufacturing systems and will have a profound impact on the design of autonomous engineering systems over the next few years.

Автор: C.H. Dagli
Название: Artificial Neural Networks for Intelligent Manufacturing
ISBN: 9401043078 ISBN-13(EAN): 9789401043076
Издательство: Springer
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Цена: 139750.00 T
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Описание: Artificial neural network technology is becoming an integral part of intelligent manufacturing systems and will have a profound impact on the design of autonomous engineering systems over the next few years.

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: 51230.00 T
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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.

Автор: Duc T. Pham; Xing Liu
Название: Neural Networks for Identification, Prediction and Control
ISBN: 1447132467 ISBN-13(EAN): 9781447132462
Издательство: Springer
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Цена: 46570.00 T
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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.

Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
ISBN: 331917746X ISBN-13(EAN): 9783319177465
Издательство: Springer
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Цена: 156720.00 T
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Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.

Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
ISBN: 331936961X ISBN-13(EAN): 9783319369617
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.

Автор: N. Sundararajan; P. Saratchandran; Yan Li
Название: Fully Tuned Radial Basis Function Neural Networks for Flight Control
ISBN: 1441949151 ISBN-13(EAN): 9781441949158
Издательство: Springer
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Цена: 156720.00 T
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Описание: Fully Tuned Radial Basis Function Neural Networks for Flight Control presents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications.

Автор: Johan A.K. Suykens; Joos P.L. Vandewalle; B.L. de
Название: Artificial Neural Networks for Modelling and Control of Non-Linear Systems
ISBN: 144195158X ISBN-13(EAN): 9781441951588
Издательство: Springer
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Цена: 130590.00 T
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Описание: Artificial neural networks possess several properties that make them particularly attractive for applications to modelling and control of complex non-linear systems. Topics include non-linear system identification, neural optimal control, top-down model based neural control design and stability analysis of neural control systems.

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: 121110.00 T
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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 ...