Improved stability analysis of uncertain neutral type neural networks with leakage delays and impulsive effects

R. Raja, Quanxin Zhu, S. Senthilraj and R. Samidurai

Applied Mathematics and Computation, 2015, vol. 266, issue C, 1050-1069

Abstract: This paper focuses on the stability analysis for neural networks of neutral type with leakage delays and impulsive effects. The discrete delays are assumed to be time-varying and belong to a given interval, which means that the lower and upper bounds of interval time-varying delays are available. By utilizing the Lyapunov functional method, Jensen’s integral inequality and introducing some free-weighting matrices, some new delay-derivative-dependent stability criteria are established for the neutral type neural network. The obtained stability criteria are stated in terms of linear matrix inequalities. Finally, numerical examples are given to illustrate the effectiveness and reduced conservatism of the proposed results over the existing ones.

Keywords: Neural network; Neutral type; Lyapunov functional; Leakage delay; Impulse (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:266:y:2015:i:c:p:1050-1069

DOI: 10.1016/j.amc.2015.06.030

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