Abstract
Some new criteria for the global asymptotic stability of the equilibrium point for the bi-directional associative memory neural networks with time varying delays are presented. The obtained results present the structure of linear matrix inequality which can be solved efficiently. The comparison with some previously reported results in the literature demonstrates that the results in this paper provide one more set of criteria for determining the stability of the bi-directional associative memory neural networks with delays. [ABSTRACT FROM AUTHOR]
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CITATION STYLE
Park, J. H., Lee, T. H., Liu, Y., & Chen, J. (2019). Stability Analysis for Neural Networks with Time-Varying Delay. In Dynamic Systems with Time Delays: Stability and Control (pp. 155–176). Springer Singapore. https://doi.org/10.1007/978-981-13-9254-2_6
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