1st Edition

Intelligent Control Systems Using Soft Computing Methodologies

Edited By Ali Zilouchian, Mo Jamshidi Copyright 2001

    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.

    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


    Ali Zilouchian, Mo Jamshidi