Author: Laxmidhar Behera
Edition: Pap/Cdr
Binding: Paperback
ISBN: 0198063156
Edition: Pap/Cdr
Binding: Paperback
ISBN: 0198063156
Intelligent Systems and Control Principles and Applications
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. Get Intelligent Systems and Control Principles and Applications computer books for free.
The book covers primers in neural networks, fuzzy logic, and non-linear control so that readers can easily follow intelligent control techniques. Design principles for fuzzy and neural control schemes have been enumerated with an easy understanding for readers. Stability analysis of control systems have been provided with rigour. Intelligent control systems have been simulated for benchmark non-linear systems across disciplines such as electrical system, electro-mechanical systems, and process control systems. Details of real-time experiments Check Intelligent Systems and Control Principles and Applications our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.
Intelligent Systems and Control Principles and Applications Download
The book covers primers in neural networks, fuzzy logic, and non-linear control so that readers can easily follow intelligent control techniques. Design principles for fuzzy and neural control schemes have been enumerated with an easy understanding for readers. Stability analysis of control systems have been provided with rigour. Intelligent control systems have been simulated for benchmark non-linear systems across disciplines such as electrical system, electro-mechanical systems, and process control systems he book covers primers in neural networks, fuzzy logic, and non-linear control so that readers can easily follow intelligent control techniques. Design principles for fuzzy and neural control schemes have been enumerated with an easy understanding for readers. Stability analysis of control systems have been provided with rigour. Intelligent control systems have been simulated for benchmark non-linear systems across disciplines such as electrical system, electro-mechanical systems, and process control systems. Details of real-time experiments
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