2018
DOI: 10.1186/s13662-018-1488-z
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Robust exponential stability results for uncertain infinite delay differential systems with random impulsive moments

Abstract: In this paper, we establish some criteria on robust exponential stability by using the formula for the variation of parameters and estimating the Cauchy matrix. More importantly, the robust stability criteria do not require the stability of the corresponding continuous system, and so they can be more widely applied to stabilize the unstable continuous system with time delays and uncertainties by using random impulsive control. Further, we give some numerical examples to illustrate the theoretical results.

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Cited by 23 publications
(18 citation statements)
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“…Lemma 1. From [19,28], when there will be exactly m impulses until the time t, t ≥ t 0 , and the waiting time between two consecutive impulses follow exponential distribution with parameter γ, then the probability…”
Section: Preliminariesmentioning
confidence: 99%
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“…Lemma 1. From [19,28], when there will be exactly m impulses until the time t, t ≥ t 0 , and the waiting time between two consecutive impulses follow exponential distribution with parameter γ, then the probability…”
Section: Preliminariesmentioning
confidence: 99%
“…Remark 2. From [19,28], if y(t) is the solution of the random impulsive differential equations, then…”
Section: Preliminariesmentioning
confidence: 99%
See 1 more Smart Citation
“…In [2], the author detailed the stabilization nature for random impulsive moments in differential equations with exponential distribution. Recently, in [24,25], the authors investigated the unstable continuous time delay systems controlled by the random impulses and the effects of random impulses shown by the simulation results. Further, the inaccuracy in finding expectation for the solution x(t) of the random impulsive differential systems [3,4,[20][21][22][23] is rectified in this paper.…”
Section: Introductionmentioning
confidence: 99%
“…Ravi Agarwal, et al [15], proved exponential stability for differential equations with random impulses at random times. For further study refer [10,[16][17][18][19][20][21] and references therein.…”
Section: Introductionmentioning
confidence: 99%