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New stability criteria of linear singular systems with time-varying delay

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  • Shen Cong

Abstract

Most of the existing results on the stability problem of delayed singular systems only pertain to the case of constant delay. This is due to the fact that time-varying delay makes it hardly possible to explicitly express the fast variables. In this paper, aiming at dealing with the case of time-varying delay, we create a way to prove the stability by using a perturbation approach. Rather, we first get the decay rate for slow variables by using Lyapunov functional approach and, furthermore, guarantee that the fast variables fall into decay by characterising their effect on the derived decay rate. Also, we present a convexity technique in computing the constructed Lyapunov functional which contributes to the elimination of the possible conservatism caused by the varying rate of delay. Finally, we provide two numerical examples to demonstrate the effectiveness of the method.

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  • Shen Cong, 2014. "New stability criteria of linear singular systems with time-varying delay," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(9), pages 1927-1935, September.
    • Handle: RePEc:taf:tsysxx:v:45:y:2014:i:9:p:1927-1935
    DOI: 10.1080/00207721.2012.759300
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    1. Tao Li & Aiguo Song & Shumin Fei, 2011. "Further stability analysis on Cohen–Grossberg neural networks with time-varying and distributed delays," International Journal of Systems Science, Taylor & Francis Journals, vol. 42(10), pages 1639-1649.
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