2014
DOI: 10.1016/j.amc.2014.05.071
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Stochastic finite-time boundedness for Markovian jumping neural networks with time-varying delays

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Cited by 47 publications
(20 citation statements)
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“…It should be noted that, in Theorem 3.3, the exponential convergence rate index k is the unique positive solution of the equation k ¼ k 1 À k 2 e ks . The obtained exponential convergence rate index k is determined by the time delay s because of the condition (34). In other words, the condition obtained in Theorem 3.3 is delay-dependent.…”
Section: Stability Of Equilibrium Pointmentioning
confidence: 98%
“…It should be noted that, in Theorem 3.3, the exponential convergence rate index k is the unique positive solution of the equation k ¼ k 1 À k 2 e ks . The obtained exponential convergence rate index k is determined by the time delay s because of the condition (34). In other words, the condition obtained in Theorem 3.3 is delay-dependent.…”
Section: Stability Of Equilibrium Pointmentioning
confidence: 98%
“…This is one of our motivations to do this work. What's more, distinguished from classical stability concept, finite-time stability is mainly focused on the asymptotic behavior of the system over a finite time interval, which can be used to address the transient performances of control systems [1,4,18]. However, to the best of our knowledge, the problem of finite-time NFSE has not been fully researched, which further motivates our current investigation.…”
Section: Introductionmentioning
confidence: 94%
“…In this paper, the measurement output collected by the sensor from the plant is shown as follows: (4) where y(k) = C i x(k) ∈ R m is the expected measurement output of the plant where C i are real constant matrices with appropriate dimensions for all η(k) = i ∈ S; y d (k) = C di x(k − d(k)) is the retarded measurement output of the plant; d(k) is a differential function representing the time-varying delay and satisfies 0 < d(k) ≤ h, where h is a constant positive scalar. ϕ(y(k)) stands for the sensor nonlinearity of the system.…”
Section: Problem Formulationmentioning
confidence: 99%
“…For all these reasons, it is not trivial to explore the dynamic behaviors of SD-MJLS over a fixed finite-time interval. The original concept of finite-time control and the finite-time control problems for common MJLSs could be reviewed in [1,2,10,11,16,17,32,38,39,40,42,43,44]. For a SD-MJLS, the controller design approaches available rely on the ideal assumption that the control move and the measurement signal can be obtained with unlimited amplitudes.…”
Section: Introductionmentioning
confidence: 99%