Zilouchian / Jamshidi Intelligent Control Systems Using Soft Computing Methodologies

1. Auflage 2010
ISBN: 978-1-4200-5814-7
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 504 Seiten

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.

Zielgruppe

Electrical and/or Computer Engineering students

Autoren/Hrsg.

Zilouchian, Ali

Jamshidi, Mo

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

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