A novel criterion for global asymptotic stability of BAM neural networks with time delays

Ju H. Park

Chaos, Solitons & Fractals, 2006, vol. 29, issue 2, 446-453

Abstract: A delay-differential equation modelling a bidirectional associative memory (BAM) neural networks is investigated. An asymptotic stability of the BAM neural networks with time delays is considered by constructing a new suitable Lyapunov functional and some matrix inequality technique. A novel delay-dependent stability criterion is given in terms of matrix inequalities, which can be solved easily by various optimization algorithms.

Date: 2006
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Citations: View citations in EconPapers (24)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:29:y:2006:i:2:p:446-453

DOI: 10.1016/j.chaos.2005.08.018

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