LMI conditions for stability of stochastic recurrent neural networks with distributed delays

DOI10.1016/j.chaos.2007.09.052zbMath1198.34161OpenAlexW2091547600MaRDI QIDQ601355

Pagavathigounder Balasubramaniam, Rajan Rakkiyappan

Publication date: 4 November 2010

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2007.09.052

zbMATH Keywords

recurrent neural networkslinear matrix inequality (LMI)\texttt{MATLAB}

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Robust stability (93D09) Stability theory of functional-differential equations (34K20) Stochastic functional-differential equations (34K50)

Related Items (8)

On robust stability of uncertain stochastic neural networks with distributed and interval time-varying delays ⋮ Asymptotic stability of stochastic delayed recurrent neural networks with impulsive effects ⋮ Stability analysis on delayed neural networks based on an improved delay-partitioning approach ⋮ EXPONENTIAL STABILITY FOR STOCHASTIC NEURAL NETWORKS OF NEUTRAL TYPE WITH IMPULSIVE EFFECTS ⋮ Global asymptotic stability of stochastic Cohen-Grossberg-type BAM neural networks with mixed delays: an LMI approach ⋮ Stability analysis of stochastic functional differential equations with infinite delay and its application to recurrent neural networks ⋮ Mean square global asymptotic stability of stochastic recurrent neural networks with distributed delays ⋮ New less-conservative stability results for uncertain stochastic neural networks with fewer slack variables

Uses Software

• Matlab
• LMI toolbox

Cites Work

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