Robust Exponential Stability Analysis for Interval Neural Networks with Time Delay

Shou Yi Qian; Li Xie

doi:10.4028/www.scientific.net/AMM.58-60.2597

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 58-60Robust Exponential Stability Analysis for Interval...

Robust Exponential Stability Analysis for Interval Neural Networks with Time Delay

Abstract:

The problem of robust exponential stability analysis for nonlinear uncertain interval neural networks with time delay is investigated. The nonlinear uncertainties are assumed to satisfy the cone constraint conditions. The interval parameters of the neural networks are equivalent to norm matched parameter uncertainties via some matrix transformations. The stable criteria for the uncertain interval neural networks with time delays are developed by use of the Lyapunov stability theory. All the stability conditions in this paper are presented in terms of linear matrix inequalities.

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Periodical:

Applied Mechanics and Materials (Volumes 58-60)

Pages:

2597-2601

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.58-60.2597

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Online since:

June 2011

Authors:

Shou Yi Qian, Li Xie

Keywords:

Interval Neural Network, Nonlinear Uncertainty, Robust Exponential Stability, Time Delay

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