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Intelligent Systems and Control: Principles and Applications covers the fundamentals of neural networks, fuzzy logic, and nonlinear control so that the readers can easily follow intelligent control techniques.
Design principles for fuzzy and neural control schemes have been enumerated in an easy-to-understand manner. Stability analysis of control systems has been provided with rigour. The intelligent control systems have been simulated for benchmark nonlinear systems across disciplines such as electrical, electromechanical, and process control systems. Details of real-time experiments for the cart–pole inverted pendulum system and seven degrees of freedom (DOF) robot manipulator using intelligent control schemes have been included in the book to illustrate efficacy of these advanced control schemes. A chapter on quantum neural network and its application has been included to illustrate the importance of the emerging research in quantum computational intelligence in control.
With its comprehensive coverage, this book can also be used as a reference for courses such as artificial neural networks and fuzzy logic, artificial intelligence, instrumentation and control, and advanced control systems. Practising engineers in the R&D sector will also be greatly benefited from this book.
ISBN - 9780198063155
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Pages : 388
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