Robust μ -stability for uncertain stochastic neural networks with unbounded time-varying delays

Xiwei Liu and Tianping Chen

Physica A: Statistical Mechanics and its Applications, 2008, vol. 387, issue 12, 2952-2962

Abstract: In this paper, we investigate the global robust stability for uncertain stochastic neural networks with unbounded time-varying delays and norm-bounded parameter uncertainties. A new concept of global robust μ-stability in the mean square for neural networks is given first, then by means of the linear matrix inequality (LMI) approach, stability criteria are presented. Several corollaries are also derived. A simple example is presented to demonstrate the effectiveness of the main result.

Keywords: Recurrent neural networks; Stochastic systems; Uncertain systems; Unbounded time-varying delays; Global robust μ-stability in the mean square (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:387:y:2008:i:12:p:2952-2962

DOI: 10.1016/j.physa.2008.01.068

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