2020
DOI: 10.1109/tac.2019.2928145
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Stability Analysis of Linear Coupled Differential-Difference Systems With General Distributed Delays

Abstract: We present a new approach for the stability analysis of linear coupled differential-difference systems (CDDS) with a general distributed delay. The distributed delay term in this note can contain any L 2 function which is approximated via a class of elementary functions including polynomial, trigonometric and exponential functions etc. Through the application of a new proposed integral inequality, sufficient condition for the stability of the system is derived in terms of linear matrix inequalities based on th… Show more

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Cited by 15 publications
(13 citation statements)
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“…Stabilization of systems with distributed delays can be carried out via both frequency and time-domain approaches. Within the first approach, one can find, for instance, the characterization of stability crossing curves, (Morȃrescu, Niculescu, & Gu, 2007), or the quasi-continuous pole placement methodology, (Michiels, Vyhlídal, & Zítek, 2010), whereas within the second approach, one mostly finds results based on the solution of Linear Matrix Inequalities (LMIs), see, e.g., (Chen & Zheng, 2007;Feng, Nguang, & Perruquetti, 2020;Feng, Nguang, & Seuret, 2019;Liu, Fridman, Johansson, & Xia, 2016;Liu, Seuret, Xia, Gouaisbaut, & Ariba, 2019;Xie, Fridman, & Shaked, 2001;Zheng & Frank, 2002). Results based on the so-called delay Lyapunov matrix are also reported in (Juárez, Alexandrova, & Mondié, 2020), (Mondié, Ochoa, & Ochoa, 2011), (Egorov, Cuvas, & Mondié, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Stabilization of systems with distributed delays can be carried out via both frequency and time-domain approaches. Within the first approach, one can find, for instance, the characterization of stability crossing curves, (Morȃrescu, Niculescu, & Gu, 2007), or the quasi-continuous pole placement methodology, (Michiels, Vyhlídal, & Zítek, 2010), whereas within the second approach, one mostly finds results based on the solution of Linear Matrix Inequalities (LMIs), see, e.g., (Chen & Zheng, 2007;Feng, Nguang, & Perruquetti, 2020;Feng, Nguang, & Seuret, 2019;Liu, Fridman, Johansson, & Xia, 2016;Liu, Seuret, Xia, Gouaisbaut, & Ariba, 2019;Xie, Fridman, & Shaked, 2001;Zheng & Frank, 2002). Results based on the so-called delay Lyapunov matrix are also reported in (Juárez, Alexandrova, & Mondié, 2020), (Mondié, Ochoa, & Ochoa, 2011), (Egorov, Cuvas, & Mondié, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…The case of discrete delay is always viewed as a delay with Bernoulli distribution. Mathematically, there have been many contributions to the stability of network system with processing delays, see [3,14,15] for examples.…”
mentioning
confidence: 99%
“…That is,ẏ i (t) = 0 for i = 1, 2, • • • , n 0 , and y * (t) solves the equation (3). And then the characteristic equation h 0 (z) = 0 becomes…”
mentioning
confidence: 99%
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“…The construction of Krasovskiȋ functionals (KF) in timedomain [16] has increasingly become an effective strategy for the stability analysis and state estimation of LTDSs [17], [18], where the stability (synthesis) conditions are denoted as semidefinite programming (SDPs) problems [19]. The conservatism of this approach is mainly affected by the complexity of the underlying delay systems, the generality of the predetermined form of KFs [16], and the integral inequalities employed to construct them.…”
Section: Introductionmentioning
confidence: 99%