WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 17, 2020
Robust Finite-time Boundedness of Discrete-time Neural Networks with Time-varying Delays
Authors: ,
Abstract: This paper is concerned with the problem of robust finite-time boundedness for the discrete-time neural networks with time-varying delays. By constructing an appropriate Lyapunov-Krasovskii functional, we propose the sufficient conditions which ensure the robust finite-time boundedness of the discrete-time neural networks with time-varying delay in terms of linear matrix inequalities. Then the sufficient conditions of robust finite-time stability for the discrete-time neural networks with time-varying delays are given. Finally, a numerical example is presented to illustrate the efficiency of proposed methods.
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Keywords: Finite-time boundedness, Lyapunov-Krasovskii functional, discrete-time systems, neural networks, time-varying delays
Pages: 146-155
DOI: 10.37394/23209.2020.17.18