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- W2020298866 abstract "This paper is concerned with the problems of stability and dissipativity analysis for static neural networks (NNs) with time delay. Some improved delay-dependent stability criteria are established for static NNs with time-varying or time-invariant delay using the delay partitioning technique. Based on these criteria, several delay-dependent sufficient conditions are given to guarantee the dissipativity of static NNs with time delay. All the given results in this paper are not only dependent upon the time delay but also upon the number of delay partitions. Some examples are given to illustrate the effectiveness and reduced conservatism of the proposed results." @default.
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- W2020298866 date "2012-02-01" @default.
- W2020298866 modified "2023-10-02" @default.
- W2020298866 title "Stability and Dissipativity Analysis of Static Neural Networks With Time Delay" @default.
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- W2020298866 doi "https://doi.org/10.1109/tnnls.2011.2178563" @default.
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