| Intelligent Control Systems Using Soft Computing Methodologies Contributor(s): Zilouchian, Ali (Editor), Jamshidi, Mo (Editor) |
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ISBN: 0849318750 ISBN-13: 9780849318757 Publisher: CRC Press OUR PRICE: $161.50 Product Type: Hardcover - Other Formats Published: March 2001 Annotation: Until now, there has been no comprehensive text that explores intelligent control with focus on the design and analysis of industrial applications and integrating the use of MATLAB. This book does all that and more. Suited as both a textbook and a reference, Intelligent Control Systems Using Soft Computing Methodologies explores recent advances in intelligent control from both the theoretical and the practical viewpoints. It integrates intelligent control design methodologies using Simulink and MATLAB to provide designers with a set of flexible, robust controllers and students with a tool for solving the examples and exercises within the book. |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Automation - Computers | Neural Networks - Computers | Intelligence (ai) & Semantics |
| Dewey: 629.890 |
| LCCN: 2001016189 |
| Physical Information: 1.23" H x 6.5" W x 9.48" (1.88 lbs) 504 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |