Intelligent Control Principles Techniques And Applications


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Intelligent Control: Principles, Techniques And Applications


Intelligent Control: Principles, Techniques And Applications

Author: Zixing Cai

language: en

Publisher: World Scientific

Release Date: 1997-12-18


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This book introduces the development process, structural theories and research areas of intelligent control; explains the knowledge representations, searching and reasoning mechanisms as the fundamental techniques of intelligent control; studies the theoretical principles and architectures of various intelligent control systems; analyzes the paradigms of representative applications of intelligent control; and discusses the research and development trends of the intelligent control.From the general point of view, this book possesses the following features: updated research results both in theory and application that reflect the latest advances in intelligent control; closed connection between theory and practice that enables readers to use the principles to their case studies and practical projects; and comprehensive materials that helps readers in understanding and learning.

Intelligent Systems and Control: Principles and Applications


Intelligent Systems and Control: Principles and Applications

Author: Laxmidhar Behera

language: en

Publisher: OUP India

Release Date: 2009-12-24


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Intelligent Systems and Control: Principles and Applications is a textbook for undergraduate level courses on intelligent control, intelligent systems, adaptive control, and non-linear control. The book covers primers in neural networks, fuzzy logic, and non-linear control so that readers can easily follow intelligent control techniques.

Computational Intelligence


Computational Intelligence

Author: Amit Konar

language: en

Publisher: Springer Science & Business Media

Release Date: 2006-01-16


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Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of computational intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of fuzzy sets and logic, neural networks, evolutionary computing and belief networks. The application areas include fuzzy databases, fuzzy control, image understanding, expert systems, object recognition, criminal investigation, telecommunication networks, and intelligent robots. The book contains many numerical examples and homework problems with sufficient hints so that the students can solve them on their own.