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Further remarks on Markus-Yamabe instability for time-varying delay differential equations

机译:关于Markus-Yamabe对时变延迟微分方程的进一步评论

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We study the stability of time-varying delay differential equations of type x(t) = Ax(t - τ(t)), when the delay τ(t) takes values in an interval [0,τ_m], for some τ_m > 0, and A is a n × n real matrix. The fundamental question that we consider is the following: is the system exponentially stable when every individual (constant-delay) system x(t) = Ax(t - τ), for τ ∈ [0,τ_m], is exponentially stable? This is nothing else than the so-called Markus-Yamabe instability. The answer to this question is 'no' for one-dimensional systems, as illustrated in the literature. The situation is more complicated for n-dimensional systems, n ≥ 2, and the previous question remains open for a general matrix A and a general τ_m as above. Nevertheless in this paper we show that the answer is still 'no' for particular classes of A and τ_m.
机译:我们研究x(t)= ax(t-t)的时变延迟微分方程的稳定性(t - τ(t)),当延迟τ(t)在一个间隔[0,τ_m]中取值时,对于一些τm> 0,A是×n真实矩阵。我们考虑的基本问题是以下内容:当每个单独(恒定延迟)系统x(t)= ax(t-τ)时,系统是指数稳定的,对于τ∈[0,τ_m],是指数稳定的?这比所谓的Markus-Yamabe不稳定更不用说。如图所示,这个问题的答案是“否”,如文献所示。对于N维系统,N≥2,N≥2的情况更加复杂,并且先前的问题仍然为通用矩阵A和一般τm,如上所述。然而,在本文中,我们表明答案仍然是A和τm的特定类别的“否”。

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