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IEEE Transactions on Systems, Man and Cybernetics
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Global asymptotic stability of delayed bi-directional associative memory neural networks
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IEEE Transactions on Fuzzy Systems
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IEEE Transactions on Neural Networks
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IEEE Transactions on Neural Networks
Exponential stability and periodic oscillatory solution in BAM networks with delays
IEEE Transactions on Neural Networks
Delay-independent stability in bidirectional associative memory networks
IEEE Transactions on Neural Networks
Robust stability of uncertain fuzzy Cohen-Grossberg BAM neural networks with time-varying delays
Expert Systems with Applications: An International Journal
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IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Fuzzy hyperbolic neural network with time-varying delays
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
Delay dependent stability results for fuzzy BAM neural networks with Markovian jumping parameters
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Mathematical and Computer Modelling: An International Journal
Robust stability analysis of fuzzy cohen-grossberg neural networks with mixed time-varying delay
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
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Via ordinary Takagi-Sugeno (TS) fuzzy models, complex nonlinear systems can be represented to a set of linear sub-models by using fuzzy sets and fuzzy reasoning. In this paper, the global asymptotic stability problem of TS fuzzy bi-directional associative memories (BAM) neural networks with time-varying delays and parameter uncertainties is considered. First, the model of TS fuzzy BAM neural networks with time-varying delays and parameter uncertainties is established as a modified TS fuzzy model in which the consequent parts are composed of a set of BAM neural networks with time-varying delays. Secondly, the globally robust asymptotically stable condition is presented in terms of linear matrix inequalities, which can be easily solved by some standard numerical packages. Two numerical examples are also given to validate the theoretical results.