Intelligent Control Systems Using Soft Computing Methodologies: 1st Edition (Hardback) book cover

Intelligent Control Systems Using Soft Computing Methodologies

1st Edition

Edited by Ali Zilouchian, Mo Jamshidi

CRC Press

504 pages

Purchasing Options:$ = USD
Hardback: 9780849318757
pub: 2001-03-27

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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.

Suitable as a textbook or 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.

Table of Contents

Introduction, A. Zilouchian and M. Jamshidi

Fundamentals of Neural Networks, A. Zilouchian

Neural Network Architectures, H. Yousefizadeh and A. Zilouchian

Application of Neural Networks in Medicine and Biological Sciences, F. Valafar

Application of Neural Network in Design of Digital Filters, D. Wang and A. Zilouchian

Application of Computer Networking Using Neural Network, H. Yousefizadeh

Application of Neural Networks in Oil Refineries, A. Zilouchian and K. Bawazir

Introduction to Fuzzy Sets: Basic Definitions and Relations, M. Jamshidi and A. El-Osery

Introduction to Fuzzy Logic, M. Jamshidi, A. El-Osery, and T.J. Ross

Fuzzy Control and Stability, M. Jamshidi and A. El-Osery

Soft Computing Approach to Safe Navigation of Autonomous Planetary Rovers, , E. Tunstel, H. Seraji, and A. Howard

Autonomous Underwater Vehicle Control Using Fuzzy Logic, F. Song and S. M. Smith

Application of Fuzzy Logic for Control of Heating, Chilling, and Air Conditioning Systems, R. Talebi-Daryani

Application of Adaptive Neuro-Fuzzy Inference Systems to Robotics, A. Zilouchian and D. Howard

Application of Soft Computing for Desalination Technology, M. Jafar and A. Zilouchian

Computational Intelligence Approach to Object Recognition, K.C. Tan, T.H. Lee, and M.L. Wang

An Introduction to Evolutionary Computation, G. Dozier, A. Homaifar, E. Tunstel, and D. Battle

Evolutionary Concepts for Image Processing Applications, M. Fathi and L. Hildebrand

Evolutionary Fuzzy Systems, M.R. Akbarzadeh-T. and A.H. Meghdadi

Genetic and Evolutionary Methods for Mobile Robot Motion Control and Path Planning, A. Homaifar, E. Tunstel, G. Dozier, and D. Battle

Problems and MATLAB Programs, A. Zilouchian and M. Jamshidi

Subject Categories

BISAC Subject Codes/Headings:
TECHNOLOGY & ENGINEERING / Electronics / General