Title | ||
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Stability of delayed switched systems via Razumikhin technique and application to switched neural networks |
Abstract | ||
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This paper investigates the globally exponential stability of delayed switched systems via Razumikhin technique. According to mode-dependent dwell average time and multiple Lyapunov functions, new Razumikhin-type stability results are deduced. In contrast to the existing Rzumikhin-type results, the proposed ones are less conservative. In order to demonstrate the applicability, some stability and stabilization results for switched neural networks with time-varying delays are also derived. Several numerical exam ples are also employed to show the effectiveness and superiority of the obtained results. |
Year | DOI | Venue |
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2021 | 10.1093/imamci/dnaa027 | IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION |
Keywords | DocType | Volume |
stability, delayed switched system, Razumikhin technique, mode-dependent average dwell time | Journal | 38 |
Issue | ISSN | Citations |
2 | 0265-0754 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dihua Sun | 1 | 26 | 4.94 |
Chao Liu | 2 | 2 | 2.07 |
Zheng Yang | 3 | 0 | 0.68 |
Xiaoyang Liu | 4 | 0 | 0.68 |
Hongyu Yang | 5 | 0 | 1.01 |
Junjian Huang | 6 | 0 | 0.34 |