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Global Exponential Stability of Discrete-Time Neural Networks with Time-Varying Delays

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  • S. Udpin
  • P. Niamsup

Abstract

This paper presents some global stability criteria of discrete-time neural networks with time-varying delays. Based on a discrete-type inequality, a new global stability condition for nonlinear difference equation is derived. We consider nonlinear discrete systems with time-varying delays and independence of delay time. Numerical examples are given to illustrate the effectiveness of our theoretical results.

Suggested Citation

  • S. Udpin & P. Niamsup, 2013. "Global Exponential Stability of Discrete-Time Neural Networks with Time-Varying Delays," Discrete Dynamics in Nature and Society, Hindawi, vol. 2013, pages 1-4, December.
    • Handle: RePEc:hin:jnddns:325752
    DOI: 10.1155/2013/325752
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    Cited by:

    1. Suntonsinsoungvon, E. & Udpin, S., 2020. "Exponential stability of discrete-time uncertain neural networks with multiple time-varying leakage delays," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 171(C), pages 233-245.

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