Intelligent Control Systems Using Soft Computing Methodologies

Ali Zilouchian, Mo Jamshidi

472 pages, parution le 01/04/2001

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Résumé

In recent years, intelligent control has emerged as one of the most active and fruitful areas of research and development. Until now, however, there has been no comprehensive text that explores the subject with focus on the design and analysis of biological and industrial applications. Intelligent Control Systems Using Soft Computing Methodologies does all that and more. Beginning with an overview of intelligent control methodologies, the contributors present the fundamentals of neural networks, supervised and unsupervised learning, and recurrent networks. They address various implementation issues, then explore design and verification of neural networks for a variety of applications, including medicine, biology, digital signal processing, object recognition, computer networking, desalination technology, and oil refinery and chemical processes. The focus then shifts to fuzzy logic, with a review of the fundamental and theoretical aspects, discussion of implementation issues, and examples of applications, including control of autonomous underwater vehicles, navigation of space vehicles, image processing, robotics, and energy management systems. The book concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies, including several more industrial examples, implementation issues, and open problems and open problems related to intelligent control technology. Suited as both a textbook and a reference, Intelligent Control Systems explores recent advances in the field from both the theoretical and the practical viewpoints. It also integrates intelligent control design methodologies to give designers a set of flexible, robust controllers and provide students with a tool for solving the examples and exercises within the book.

Contents

Introduction to Intelligent Control, A Zilouchian and M. Jamshidi
Fundamentals of Neural Networks, A. Zilouchian
Supervised and Unsupervised Learning, A. Zilouchian
Neural Network Applications: Oil Refinery and Chemical Processes, A. Zilouchian
Neural Network Applications: Desalination Technology, M. Jafar and A. Zilouchian
Application of Neural Networks in Digital Signal Processing, Dali Wang and A. Zilouchian
Application of Neural Networks in Medicine and Biology, Faramarz Valafar
Application of Neural Networks to Pattern Recognition, Cherif Aissi
Application of Computer Networking Using Neural Networks, H. Yousefizadeh
Introduction of Fuzzy Sets: Basic Definitions and Relations, M. Jamshidi and Aly El-Osery
Introduction to Fuzzy Logic, M. Jamshidi and Aly El-Osery
Fuzzy Control and Stability, M. Jamshidi and Aly El-Osery
Application of Fuzzy Logic: Navigation of Space Vehicle, Edward Tunstel
Autonomous Underwater Vehicle Control Using Fuzzy Logic
Fuzzy Clustering and its Application to Image Processing, M. Fathi
Application of Fuzzy Logic for Energy Management of Heating and Cooling Systems, R. Talebi-Daryani
Application of Fuzzy Logic to Power Systems
Application of Fuzzy Logic to Automation, Moe Zand
Application of Fuzzy Logic to Robot Manipulators, David Howard and A. Zilouchian
Introduction to Genetic Algorithms, Abi Homaifar
Applications of Genetic Algorithms, Abi Homaifar
Optimization of Fuzzy Control Rules with Genetic Algorithms, Dr. Akbarzadeh
Beyond Intelligent Systems, A. Zilouchian and M. Jamshidi

L'auteur - Ali Zilouchian

Florida Atlantic University, Boca Raton, Florida, USA

L'auteur - Mo Jamshidi

University of New Mexico, Albuquerque, New Mexico, USA

Caractéristiques techniques

	PAPIER
Éditeur(s)	Chapman and Hall / CRC
Auteur(s)	Ali Zilouchian, Mo Jamshidi
Parution	01/04/2001
Nb. de pages	472
Format	16 x 24
Couverture	Relié
Poids	857g
Intérieur	Noir et Blanc
EAN13	9780849318757
ISBN13	978-0-8493-1875-7