Title | ||
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Improved stability analysis of uncertain neutral type neural networks with leakage delays and impulsive effects |
Abstract | ||
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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. |
Year | DOI | Venue |
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2015 | 10.1016/j.amc.2015.06.030 | Applied Mathematics and Computation |
Keywords | Field | DocType |
Neural network,Neutral type,Lyapunov functional,Leakage delay,Impulse | Mathematical optimization,Leakage (electronics),Matrix (mathematics),Control theory,Impulse (physics),Artificial neural network,Lyapunov functional,Mathematics | Journal |
Volume | Issue | ISSN |
266 | C | 0096-3003 |
Citations | PageRank | References |
24 | 0.66 | 27 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
R. Raja | 1 | 180 | 12.58 |
Quanxin Zhu | 2 | 1100 | 67.69 |
S. Senthilraj | 3 | 60 | 3.22 |
R. Samidurai | 4 | 275 | 15.47 |