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ANALYSIS ON GLOBAL STABILITY OF STOCHASTIC NEURAL NETWORKS OF NEUTRAL TYPE

Robust Control and Nonlinear Dynamics Laboratory, Department of Electrical Engineering, Yeungnam University, 214-1 Dae-Dong, Kyongsan 712-749, Korea

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and

O. M. KWON

School of Electrical and Computer Engineering, Chungbuk National University, 410 SungBong-Ro, Heungduk-gu, Cheongju 361-763, Korea

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https://doi.org/10.1142/S0217984908017680Cited by:34 (Source: Crossref)

Abstract

In this paper, the problem of global asymptotic stability of stochastic neural networks of neutral type is considered. Based on the Lyapunov stability theory, a new delay-dependent stability criterion for the network is derived in terms of LMI (linear matrix inequality). A numerical example is given to show the effectiveness of the proposed method.

Keywords:

PACS: 02.30.Ks, 84.35.+i, 87.10.+e

AMSC: 34C25, 34K13, 34K25, 93D20

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