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• W2155176232 abstract "This paper considers the problem of global robust stability analysis for a class of bidirectional associative memory time-varying delayed neural networks with norm-bounded time-varying parameter uncertainties. The activation functions are assumed to be globally Lipschitz continuous. Globally delay-dependent robust stability criteria are derived in the form of linear matrix inequalities by introducing some relaxation matrices which can be chosen properly to lead to a less conservative result. Numerical examples are given to illustrate the significant improvement on the conservativeness of the delay bound over some reported results in the literature" @default.
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• W2155176232 date "2006-10-24" @default.
• W2155176232 modified "2023-10-14" @default.
• W2155176232 title "A New Delay-Dependent Approach to Robust Stability for Uncertain Hybrid Bidirectional Associative Memory Neural Networks with Time-Varying Delays" @default.
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• W2155176232 doi "https://doi.org/10.1109/icicic.2006.13" @default.
• W2155176232 hasPublicationYear "2006" @default.
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