Industrial Intelligent Control: Fundamentals and Applications / Edition 1

by Yong-Zai Lu

Overview

With a strong emphasis on applications of intelligent control, this extremely accessible book covers the fundamentals, methodologies, architectures and algorithms of automatic control systems. The author summarizes several current concepts to improve industrial control systems, combining classical control techniques of dynamic modeling and control with new approaches discussed in the text. Addresses such intelligent systems as neural networks, fuzzy logic, ruled based, and genetic algorithms. Demonstrates how to develop, design and use intelligent systems to solve sophisticated industrial control problems. Includes numerous worked application examples.

Product Details

ISBN-13:	9780471950585
Publisher:	Wiley
Publication date:	05/01/1996
Series:	Series
Pages:	346
Product dimensions:	6.34(w) x 9.57(h) x 0.98(d)

About the Author

Yong-Zai Lu is the author of Industrial Intelligent Control: Fundamentals and Applications, published by Wiley.

Table of Contents

Fundamental Techniques for Intelligent Control.

Learning Strategies and Algorithms.

System Modeling and Estimation.

Dynamic Controls.

Optimization Control Techniques.

Multivariate Statistics and Quality Control.

Fault Detection and Diagnosis.

Appendix.

Bibliography.

Index.

Editorial Reviews

A textbook for process-control and operations engineering students with an undergraduate level background in mathematics and control. Introduces the methodologies, architectures, algorithms and industrial applications of intelligent control systems, including neural networks, fuzzy logic, rule base, and genetic algorithms. Arranged according to the main subjects in industrial control, from system modeling, estimation, and dynamic and optimization control to quality control and fault detection. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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