LMI-Based Approach for Exponential Robust Stability of High-Order Hopfield Neural Networks with Time-Varying Delays

Yangfan Wang and Linshan Wang

Journal of Applied Mathematics, 2012, vol. 2012, 1-8

Abstract:

This paper studies the problems of global exponential robust stability of high-order hopfield neural networks with time-varying delays. By employing a new Lyapunov-Krasovskii functional and linear matrix inequality, some criteria of global exponential robust stability for the high-order neural networks are established, which are easily verifiable and have a wider adaptive.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnljam:182745

DOI: 10.1155/2012/182745

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