Exponential stability of discrete-time uncertain neural networks with multiple time-varying leakage delays

E. Suntonsinsoungvon and S. Udpin

Mathematics and Computers in Simulation (MATCOM), 2020, vol. 171, issue C, 233-245

Abstract: In this paper, we investigate a new exponential stability criterion for uncertain discrete-time neural networks with both multiple leakage time-varying delays and discrete time-varying delays. Here for the first time leakage time varying delay is taken to be a multiple one and this does not exist in the literature. Based on the discrete-type Halanay inequality and some inequality techniques, a novel exponential stability criterion for uncertain discrete-time neural networks is derived in terms of LMIs. Then the LMIs can be easily manipulated by using LMI Control toolbox in Matlab. Finally few numerical examples along with simulative responses are given to strengthen our proposed stability results.

Keywords: Discrete-time neural networks; Halanay inequality; Robust stability; Uncertainty; Leakage delay; Time-varying delays (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:171:y:2020:i:c:p:233-245

DOI: 10.1016/j.matcom.2019.10.007

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