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Improved Results on Passivity Analysis of Uncertain Neural Networks with Time-Varying Discrete and Distributed Delays

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Abstract

In this paper, the passivity analysis problem is investigated for uncertain neural networks with time-varying discrete and distributed delays. Based on direct delay decomposition idea and free-weighting matrix approach, several new delay-dependent passive criterions are derived in terms of linear matrix inequalities (LMIs), which can be easily checked by the Matlab LMI toolbox. Numerical examples show that the obtained results improve some existing ones.

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Authors and Affiliations

  1. Department of Mathematics, Henan Institute of Science and Technology, 453003, Xinxiang, China

    Yonggang Chen

  2. College of Mathematics and Information Science, Henan Normal University, 453007, Xinxiang, China

    Wenlin Li & Weiping Bi

Authors
  1. Yonggang Chen
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  2. Wenlin Li
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  3. Weiping Bi
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Correspondence to Yonggang Chen.

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Chen, Y., Li, W. & Bi, W. Improved Results on Passivity Analysis of Uncertain Neural Networks with Time-Varying Discrete and Distributed Delays. Neural Process Lett 30, 155–169 (2009). https://doi.org/10.1007/s11063-009-9116-2

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  • DOI: https://doi.org/10.1007/s11063-009-9116-2

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