On global stability criterion of neural networks with continuously distributed delays

Ju H. Park

Chaos, Solitons & Fractals, 2008, vol. 37, issue 2, 444-449

Abstract: Based on the Lyapunov’s second method and the linear matrix inequality (LMI) optimization approach, this paper presents a new sufficient condition for global asymptotic stability of the equilibrium point for a class of neural networks with discrete and distributed delays. The stability condition is expressed in terms of LMIs, which can be solved easily by various convex optimization algorithms. A numerical example is given to show the less conservatism and effectiveness of proposed method.

Date: 2008
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Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:37:y:2008:i:2:p:444-449

DOI: 10.1016/j.chaos.2006.09.021

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