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Kumpati S. Narendra

Kumpati S. Narendra

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
77
Citations
46561
World Ranking
594
National Ranking
264

Research.com Recognitions

  • 2008 - Neural Networks Pioneer Award, IEEE Computational Intelligence Society
  • 2003 - Richard E. Bellman Control Heritage Award
  • 1987 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Kumpati S. Narendra is affiliated with Yale University in the United States and has contributed extensively to the field of engineering with a particular emphasis on control and systems engineering. Their work spans several subfields, including mechanical engineering, artificial intelligence, biomedical engineering, and obstetrics and gynecology.

The main focus of Narendra's research encompasses control systems and identification, heat transfer and optimization, heat transfer mechanisms, nanofluid flow and heat transfer, pregnancy and preeclampsia studies, bone fractures and treatments, and evolutionary algorithms and applications.

Frequent publication venues for Narendra include:

  • International Journal of Adaptive Control and Signal Processing
  • 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
  • Annals of Computer Science and Information Systems
  • MedPulse International Journal of Pediatrics
  • Fractal and Fractional

Key recent papers authored or co-authored by Narendra are:

  • "Mutual Learning Algorithm for Kidney Cyst, Kidney Tumor and Kidney Stone Diagnosis," 2023, Annals of Computer Science and Information Systems
  • "A study on correlation between gestational age and foot length measurements," 2021, MedPulse International Journal of Pediatrics
  • "Mutual Learning in Optimization," 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
  • "A New Method for Controlling Fractional Linear Systems," 2022, Fractal and Fractional
  • "Identification and Control of Linear Systems with Piece-wise Constant Parameters," 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Frequent co-authors working alongside Narendra include:

  • Kalle Åström
  • Robert R. Bitmead
  • Guy A. Dumont
  • Robert L. Kosut
  • Miroslav Krstić

The scientist has been recognized with several awards during their career, such as the Neural Networks Pioneer Award from the IEEE Computational Intelligence Society in 2008, the Richard E. Bellman Control Heritage Award in 2003, and the distinction of Fellow of the American Association for the Advancement of Science (AAAS) awarded in 1987.

Best Publications

  • Identification and control of dynamical systems using neural networks

    K.S. Narendra;K. Parthasarathy

  • Stable Adaptive Systems

    K. S. Narendra;A. M. Annaswamy

  • Adaptive control using multiple models

    K.S. Narendra;J. Balakrishnan

  • A new adaptive law for robust adaptation without persistent excitation

    K. Narendra;A. Annaswamy

  • An iterative method for the identification of nonlinear systems using a Hammerstein model

    K. Narendra;P. Gallman

  • Learning Automata - A Survey

    Kumpati S. Narendra;M. A. L. Thathachar

  • Gradient methods for the optimization of dynamical systems containing neural networks

    K.S. Narendra;K. Parthasarathy

  • A common Lyapunov function for stable LTI systems with commuting A-matrices

    K.S. Narendra;J. Balakrishnan

  • Stable adaptive controller design, part II: Proof of stability

    K. Narendra;Yuan-Hao Lin;L. Valavani

  • Frequency domain criteria for absolute stability

    Kumpati S. Narendra;James Hugh Taylor

  • Improving transient response of adaptive control systems using multiple models and switching

    K.S. Narendra;J. Balakrishnan

  • Adaptive control using neural networks and approximate models

    K.S. Narendra;S. Mukhopadhyay

  • Stable adaptive controller design--Direct control

    K. Narendra;L. Valavani

  • Adaptation and learning using multiple models, switching, and tuning

    K.S. Narendra;J. Balakrishnan;M.K. Ciliz

  • Control of nonlinear dynamical systems using neural networks. II. Observability, identification, and control

    A.U. Levin;K.S. Narendra

  • Bounded error adaptive control

    B. Peterson;K. Narendra

  • Control of nonlinear dynamical systems using neural networks: controllability and stabilization

    A.U. Levin;K.S. Narendra

  • Adaptive control of discrete-time systems using multiple models

    K.S. Narendra;Cheng Xiang

  • Nonlinear adaptive control using neural networks and multiple models

    Lingji Chen;Kumpati S. Narendra

  • Spine stability: the six blind men and the elephant

    N. Peter Reeves;Kumpati S. Narendra;Jacek Cholewicki

  • Robust Adaptive Control

    Kumpati S. Narendra;Anuradha M. Annaswamy

Frequent Co-Authors

Daniel E. Koditschek
Daniel E. Koditschek University of Pennsylvania
Jovan Boskovic
Jovan Boskovic Scientific Systems Company, Inc.
Romeo Ortega
Romeo Ortega Instituto Tecnológico Autónomo de México
Tong Heng Lee
Tong Heng Lee National University of Singapore
Frank L. Lewis
Frank L. Lewis The University of Texas at Arlington

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