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Fuzzy Modeling and Control: Theory and Applications / edited by Fernando Matía, G. Nicolás Marichal, Emilio Jiménez.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Matía, Fernando, editor.
Marichal, G. Nicolás, editor.
Jiménez, Emilio, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Atlantis computational intelligence systems 1875-7650 ; 9.
Atlantis Computational Intelligence Systems, 1875-7650 ; 9
Language:
English
Subjects (All):
Computational intelligence.
Automatic control.
Engineering.
Computational Intelligence.
Control and Systems Theory.
Engineering, general.
Local Subjects:
Computational Intelligence.
Control and Systems Theory.
Engineering, general.
Physical Description:
1 online resource (XV, 288 pages) : 121 illustrations, 68 illustrations in color.
Edition:
First edition 2014.
Contained In:
Springer eBooks
Place of Publication:
Paris : Atlantis Press : Imprint: Atlantis Press, 2014.
System Details:
text file PDF
Summary:
Much work on fuzzy control, covering research, development and applications, has been developed in Europe since the 90's. Nevertheless, the existing books in the field are compilations of articles without interconnection or logical structure or they express the personal point of view of the author. This book compiles the developments of researchers with demonstrated experience in the field of fuzzy control following a logic structure and a unified the style. The first chapters of the book are dedicated to the introduction of the main fuzzy logic techniques, where the following chapters focus on concrete applications. This book is supported by the EUSFLAT and CEA-IFAC societies, which include a large number of researchers in the field of fuzzy logic and control. The central topic of the book, Fuzzy Control, is one of the main research and development lines covered by these associations.
Contents:
New Concepts for the Estimation of Takagi-Sugeno Model Based on Extended Kalman Filter
Suboptimal Recursive Methodology for Takagi-Sugeno Fuzzy Models Identification
Complexity Reduction in Fuzzy Systems using Functional Principal Component Analysis
Stable Fuzzy Control System by Design
Polynomial Fuzzy Systems: Stability and Control
Robust Fault Tolerant Control Framework using Uncertain Takagi-Sugeno Fuzzy Models
Intelligent Tuning of Fuzzy Controllers by Learning and Optimization
Adaptive Evolutionary Optimization Algorithms for Simple Fuzzy Controller Tuning
Neuro-Fuzzy Control for Semi-Active Dampers
Neuro-Fuzzy Modeling and Fuzzy Control of a Fast Ferry
AUTOP ́IA Program for Intelligent Control of Vehicles
Management of a PEM Electrolyzer in Hybrid Renewable Energy Systems
Hardware Implementation of Embedded Fuzzy Controllers on FPGAs and ASICs
Genetic Optimization of Fuzzy Adaptive Cruise Control for Urban Traffic.
Other Format:
Printed edition:
ISBN:
978-94-6239-082-9
9789462390829
Access Restriction:
Restricted for use by site license.

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