Intelligent control systems using soft computing methodologies

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Intelligent control systems using soft computing methodologies

edited by Ali Zilouchian, Mo Jamshidi

CRC Press, c2001

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内容説明・目次

内容説明

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.

目次

Introduction to Intelligent Control. Fundamentals of Neural Networks. Supervised and Unsupervised Learning. Neural Network Applications: Oil Refinery and Chemical Processes. Neural Network Applications: Desalination Technology. Application of Neural Networks in Digital Signal Processing. Application of Neural Networks in Medicine and Biology. Application of Neural Networks to Pattern Recognition. Application of Computer Networking Using Neural Networks. Introduction of Fuzzy Sets: Basic Definitions and Relations. Introduction to Fuzzy Logic. Fuzzy Control and Stability. Application of Fuzzy Logic: Navigation of Space Vehicle. .Autonomous Underwater Vehicle Control Using Fuzzy Logic. Fuzzy Clustering and its Application to Image Processing. Application of Fuzzy Logic for Energy Management of Heating and Cooling Systems. .Application of Fuzzy Logic to Power Systems. Application of Fuzzy Logic to Automation. Application of Fuzzy Logic to Robot Manipulators. Introduction to Genetic Algorithms. Applications of Genetic Algorithms. . Optimization of Fuzzy Control Rules with Genetic Algorithms. Beyond Intelligent Systems.

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