Robust passivity analysis for Takagi–Sugeno fuzzy stochastic Cohen–Grossberg interval neural networks with time-varying delays
Gnaneswaran Nagamani, Pagavathigounder Balasubramaniam · Physica Scripta · 2010
In this paper, the problem of passivity analysis is investigated for uncertain stochastic Cohen–Grossberg fuzzy interval neural networks with time-varying delays. Two types of uncertainties, time-varying structured uncertainty and interval uncertainty, are considered. By constructing proper Lyapunov–Krasovskii functionals and utilizing the stochastic analysis technique, some delay-dependent passivity conditions are derived to ensure the passivity of the concerned neural networks. The proposed results can be expressed in terms of linear matrix inequalities, which can be solved by some standard numerical packages. Finally, numerical examples are given to show the effectiveness and merits of the proposed method.