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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.
Synopsis
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.
Booknews
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)