Fuzzy Modeling and Control: Theory and Applications

2014
ISBN: 978-94-6239-081-2
Verlag: Atlantis Press

Buch, Englisch, Band 9, 288 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 5797 g

Reihe: Atlantis Computational Intelligence Systems

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.

Zielgruppe

Research

Autoren/Hrsg.

Matía, Fernando

Jiménez, Emilio

Marichal, G. Nicolás

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Fuzzy-Systeme
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik

Inhaltsverzeichnis

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.