
Intelligent Systems and Control Principles and Applications
Ships in 1-2 Days
Free Shipping in India on orders above Rs. 500
Ships in 1-2 Days
Free Shipping in India on orders above Rs. 500
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.
Dr. Laxmidhar Behera is currently Associate Professor, Department of Electrical Engineering, IIT Kanpur. He has recently joined ISRC, UUM as a reader on a sabatical from IIT Kanpur. A Ph D from IIT Delhi, he has worked as Assistant Professor in BITS Pilani during 1995-1999 and pursued his post-doctoral studies in German National Research Center for Information Technology, GMD, Sank Augustin, Germany. He has also worked as visiting researcher/professor in FHG, Germany, ETH, Zurich, Switzerland. Dr Behera works in the area of intelligent robotics and control in general. His specific areas of research are visual motor coordination, advanced neural learning algorithms, advanced control architecture, visual tracking and obstacle avoidance of mobile robots, visual navigation and data modeling using soft-computing approaches and quantum neural networks. He has published more than 90 papers in refereed journals and conference proceedings.