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Kumpati narendra biography of martin

          LEARNING AUTOMATA: AN INTRODUCTION (DOVER BOOKS ON ELECTRICAL ENGINEERING) By Kumpati S. Narendra, Mandayam A L Thathachar....

          A parametric recurrent neural network model and an improved dynamic backpropagation method of its learning, are applied for nonlinear plants.

          Kumpati S. Narendra, newly appointed as the Harold W. Cheel Professor of Electrical Engineering, is internationally known for his work on complex systems that can learn and adapt to new environments.

          Director of the Yale Center for Systems Science, Narendra has focused his research on stability theory, learning automata, adaptive control and intelligent control of complex systems using neural networks.

          In 1963, he was the first to prove the circle criterion. From 1970 to 1990 he systematically explored the field of adaptive control, and in 1980, solved the long-standing stability problem.

          This graduate-level text focuses on the stability of adaptive systems, and offers a thorough understanding of the global stability properties essential to.

        1. Abstract—Reinforcement Learning aims to find the optimal decision in uncertain environments on the basis of qualitative.
        2. LEARNING AUTOMATA: AN INTRODUCTION (DOVER BOOKS ON ELECTRICAL ENGINEERING) By Kumpati S. Narendra, Mandayam A L Thathachar.
        3. The fields of study he is best known for: Organic chemistry; Oxygen; Hydrogen.
        4. Kumpati S Narendra and Mandayam AL Thathachar.

          5. In 1990, he published a groundbreaking neural-networks research paper which introduced the field of neural control. His work on linear and nonlinear systems is helping to address a wide spectrum of problems in new technologies (e.g., robots, manufacturing, space technology and medical instrumentation).

          He is the co-author of the books "Frequency Domain Criteria for Absolute Stabi