Computational Intelligence in Control

Computational Intelligence in Control

Masoud Mohammadian (University of Canberra, Australia), Rahul A. Sarker (University of New South Wales, Australia) and Xin Yao (The University of Birmingham, UK)
Release Date: July, 2002|Copyright: © 2003 |Pages: 348|DOI: 10.4018/978-1-59140-037-0
ISBN13: 9781591400370|ISBN10: 1591400376|EISBN13: 9781591400790
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Description

The problem of controlling uncertain dynamic systems, which are subject to external disturbances, uncertainty and sheer complexity is of considerable interest in computer science, Operations Research and Business domains. The application of intelligent systems has been found useful in problems when the process is either difficult to model or difficult to solve by conventional methods. Intelligent systems have attracted increasing attention in recent years for solving many complex problems. Computational Intelligence in Control will be a repository for the theory and applications of intelligent systems techniques in modelling control and automation.

Reviews and Testimonials

The book Computational Intelligence in Control presents many theoretical findings in the area of computational intelligence and its applications from leading researchers. The book is informative and serves as a very good resource for the training, designing, and analysis of computational intelligence techniques, including neural network, fuzzy logic, and evolutionary computation. I strongly recommend this book to all readers in the field.

– Dr. Kay Chen Tan, Department of Electrical and Computer Engineering, National University of Singapore

Table of Contents and List of Contributors

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