2005
DOI: 10.1002/rnc.1041
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Exponential estimates for neutral time delay systems with multiple delays

Abstract: SUMMARYExponential estimates and sufficient conditions for the exponential stability of linear neutral time delay for systems with multiple delays are given. The case of systems with uncertainties, including uncertainties in the difference operator, is considered. The proofs follows from new results on non-homogeneous difference equations evolving in continuous time combined with the Lyapunov-Krasovskii functionals approach. The conditions are expressed in terms of linear matrix inequalities. The particular ca… Show more

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Cited by 21 publications
(12 citation statements)
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“…The converse of this assertion is false, as shown in the example below. These matrices satisfy N k=1 A k = 1.4435, therefore the exponential stability of (43) cannot be analyzed using the conditions in [12]. However, this system is exponentially stable.…”
Section: Conservatism Analysis and Discussionmentioning
confidence: 92%
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“…The converse of this assertion is false, as shown in the example below. These matrices satisfy N k=1 A k = 1.4435, therefore the exponential stability of (43) cannot be analyzed using the conditions in [12]. However, this system is exponentially stable.…”
Section: Conservatism Analysis and Discussionmentioning
confidence: 92%
“…Substitute (4) into these expressions, and using the decomposition blocks (11) in (12), we arrive at the Dini upper right-hand derivative of vµ(xt(ϕ)) along the trajectory of (4), that is…”
Section: Preliminariesmentioning
confidence: 99%
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“…Let the associated D operator be defined as D(x t ) = x(t) − 0 (X(t)). To the best of our knowledge, when m is a general integer and 0 contains more derivatives of retarded state variable, unless for corresponding deterministic systems (see other works [30][31][32][33] ), stability analysis of this class of stochastic systems was not well discussed in the literature. Only recently, the stability analysis of stochastic neutral-type time-delay systems with two different delays in both the state variables and derivatives of delayed state variables was considered in our recent work.…”
Section: Introductionmentioning
confidence: 99%