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E. Fridman, “New Lyapunov-Krasovskii Functional for Stability of Linear Retarted and Neutral Type Systems,” Systems and Control Letters, Vol. 43, 2001, pp. 309-319. doi:10.1016/S0167-6911(01)00114-1

has been cited by the following article:

• TITLE: Stabilization of Unknown Nonlinear Discrete-Time Delay Systems Based on Neural Network

  AUTHORS: Vinay Kumar Deolia, Shubhi Purwar, Tripti Nath Sharma

  KEYWORDS: Discrete-Time Delay Nonlinear Systems; Lyapunov Stability; Linear Matrix Inequality (LMI)

  JOURNAL NAME: Intelligent Control and Automation, Vol.3 No.4, November 28, 2012

  ABSTRACT: This paper discusses about the stabilization of unknown nonlinear discrete-time fixed state delay systems. The unknown system nonlinearity is approximated by Chebyshev neural network (CNN), and weight update law is presented for approximating the system nonlinearity. Using appropriate Lyapunov-Krasovskii functional the stability of the nonlinear system is ensured by the solution of linear matrix inequalities. Finally, a relevant example is given to illustrate the effectiveness of the proposed control scheme.