Improved Delay-Dependent Stability Analysis for Neural Networks with Interval Time-Varying Delays

Jun-kang Tian and Yan-min Liu

Mathematical Problems in Engineering, 2015, vol. 2015, 1-10

Abstract:

The problem of delay-dependent asymptotic stability analysis for neural networks with interval time-varying delays is considered based on the delay-partitioning method. Some less conservative stability criteria are established in terms of linear matrix inequalities (LMIs) by constructing a new Lyapunov-Krasovskii functional (LKF) in each subinterval and combining with reciprocally convex approach. Moreover, our criteria depend on both the upper and lower bounds on time-varying delay and its derivative, which is different from some existing ones. Finally, a numerical example is given to show the improved stability region of the proposed results.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:705367

DOI: 10.1155/2015/705367

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