Linear matrix inequality approach to stochastic stability of uncertain delayed BAM neural networks

DOI10.1093/imamat/hxs015zbMath1281.93104OpenAlexW2024178389MaRDI QIDQ2874013

R. Raja, S. Marshal Anthoni, Rathinasamy Sakthivel

Publication date: 28 January 2014

Published in: IMA Journal of Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/imamat/hxs015

zbMATH Keywords

linear matrix inequalitytime-varying delaysimpulsive effectsMarkovian jumping parametersLyapunov-Krasovskiĭ functionalneutral-type BAM neural networks

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Stochastic stability in control theory (93E15)

Related Items (9)

Novel global robust exponential stability criterion for uncertain inertial-type BAM neural networks with discrete and distributed time-varying delays via Lagrange sense ⋮ Finite-time boundedness and stabilization of uncertain switched neural networks with time-varying delay ⋮ LMI-based results on exponential stability of BAM-type neural networks with leakage and both time-varying delays: a non-fragile state estimation approach ⋮ Stability analysis for singular random impulsive control system: A novel neutral impulsive delay system approach ⋮ State estimation for switched discrete-time stochastic BAM neural networks with time varying delay ⋮ Mean-square exponential stability of fuzzy stochastic BAM networks with hybrid delays ⋮ Stability analysis for BAM quaternion-valued inertial neural networks with time delay via nonlinear measure approach ⋮ Dynamics of almost periodic BAM neural networks with neutral delays ⋮ Improved stability criteria for linear systems with two additive time-varying delays via a novel Lyapunov functional

Uses Software

• Matlab
• LMI toolbox

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