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- W2069808658 abstract "This paper is concerned with the problem of exponential stability for a class of switched neural networks with time-varying delays. Based on the average dwell time (ADT) technique, mode-dependent average dwell time (MDADT) technique and multiple Lyapunov-Krasovskii (LK) function approach, two conditions are derived to design switching signal and guarantee the exponential stability of the considered neural networks, which are delay-dependent and formulated by linear matrix inequalities (LMIs). Finally, Numerical examples confirm the effectiveness and less conservativeness of the proposed methods." @default.
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- W2069808658 date "2014-07-01" @default.
- W2069808658 modified "2023-09-23" @default.
- W2069808658 title "Exponential stability for switched neural networks with time-varying delays" @default.
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- W2069808658 doi "https://doi.org/10.1109/chicc.2014.6895783" @default.
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