K
Kumpati S. Narendra
Researcher at Yale University
Publications - 232
Citations - 32651
Kumpati S. Narendra is an academic researcher from Yale University. The author has contributed to research in topics: Adaptive control & Nonlinear system. The author has an hindex of 68, co-authored 229 publications receiving 31425 citations. Previous affiliations of Kumpati S. Narendra include Hamilton Institute.
Papers
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Journal ArticleDOI
Stable adaptive schemes for state estimation and identification of linear systems
G. Luders,Kumpati S. Narendra +1 more
TL;DR: In this article, the adaptive observer simultaneously estimates the state and the parameters of the unknown plant and is shown to be globally asymptotically stable for a linear multivariable system.
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Identification and control of a nonlinear discrete-time system based on its linearization: a unified framework
Lingji Chen,Kumpati S. Narendra +1 more
TL;DR: A unified theoretical framework for the identification and control of a nonlinear discrete-time dynamical system is presented, in which the nonlinear system is represented explicitly as a sum of its linearized component and the residual nonlinear component referred to as a "higher order function."
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Disturbance rejection in nonlinear systems using neural networks
TL;DR: Theoretical justification is provided for the existence of solutions to the problem of complete rejection of the disturbance in special cases and provides the rationale for using similar techniques in situations where such theoretical analysis is not available.
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A learning model for routing in telephone networks
TL;DR: A mathematical model of the network with slow-learning algorithms distributed at various nodes is presented and two linear updating algorithms, under certain conditions, are shown to have desirable equilibrium behavior like load equalization and minimum blocking probability for the entire network.
Journal ArticleDOI
An identification procedure for discrete multivariable systems
P. Kudva,Kumpati S. Narendra +1 more
TL;DR: In this paper, a new procedure is presented for the identification of discrete linear multivariable systems using Lyapunov's direct method and the asymptotic stability of the overall system is established when the inputs are sufficiently general.