2011
DOI: 10.1002/rnc.1726
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Razumikhin‐type theorems on general decay stability and robustness for stochastic functional differential equations

Abstract: This paper establishes Razumikhin-type theorems on general decay stability for stochastic functional differential equations. This improves existing stochastic Razumikhin-type theorems and can make us examine the stability with general decay rate in the sense of the pth moment and almost sure. These stabilities may be specialized as the exponential stability and the polynomial stability. When the almost sure stability is examined, the conditions of this paper may defy the linear growth condition for the drift t… Show more

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Cited by 57 publications
(43 citation statements)
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“…Definition 4 [54]: Function ψ : R + → (0, ∞) is said to be ψ-type function if this function satisfies the following conditions.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Definition 4 [54]: Function ψ : R + → (0, ∞) is said to be ψ-type function if this function satisfies the following conditions.…”
Section: Resultsmentioning
confidence: 99%
“…Definition 5 [54]: The error system (7) is said to be ψ-type stable if there exists a constant γ > 0 such that…”
Section: Resultsmentioning
confidence: 99%
“…Remark 3: In the previous literature, the Lyapunov function method is always accompanied with Razumikhin technique, see [23], [26], [27], and [30]. If we employ this technique, we will continue the derivation from the obtained estimation (17) in the Appendix for the proof of Theorem 1.…”
Section: Stability Theoremmentioning
confidence: 95%
“…Later, this technique was appropriately developed and extended to some other stochastic systems, such as hybrid stochastic delay interval systems [9] and impulsive stochastic delay differential systems [10]. Recently, some researchers have introduced ψ -type function and extended the stability results to γ ψ stability, including the exponentialstability as a special case in [11] [12]. In [13], the researchers utilize multiple Lyapunov functions investigate the stability of stochastic switching nonlinear systems.…”
Section: Introductionmentioning
confidence: 99%