Stability Analysis of Delayed Neural Networks via Composite-Matrix-Based Integral Inequality
نویسندگان
چکیده
This paper revisits the problem of stability analyses for neural networks with time-varying delay. A composite-matrix-based integral inequality (CMBII) is presented, which takes delay derivative into account. In this case, coupling information can be fully captured in inequalities derivative. Based on a CMBII, new criterion derived The effectiveness method verified by numerical example.
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ژورنال
عنوان ژورنال: Mathematics
سال: 2023
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math11112518