2015 European Control Conference (ECC) 2015
DOI: 10.1109/ecc.2015.7330706
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New conditions for the finite-time stability of stochastic linear time-varying systems

Abstract: In this paper we investigate the stochastic finitetime stability (SFTS) problem for linear time-varying systems.The system under consideration is described by an Itô type differential equation and the Itô differentiation rule is exploited to derive conditions for SFTS. The main contribution of the paper is that we use an approach based on timevarying quadratic Lyapunov functions, which allow us to obtain less conservative conditions than the time-invariant Lyapunov functions commonly used in the literature. Mo… Show more

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Cited by 19 publications
(4 citation statements)
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“…From (14) and (15), the proof follows. □ Note that we need to fix the value of ϵ in (11), in order to obtain a DLMIs-based feasibility problem.…”
Section: Sufficient Conditions For Asftsmentioning
confidence: 90%
See 1 more Smart Citation
“…From (14) and (15), the proof follows. □ Note that we need to fix the value of ϵ in (11), in order to obtain a DLMIs-based feasibility problem.…”
Section: Sufficient Conditions For Asftsmentioning
confidence: 90%
“…In [13,15], the concept of FTS has been extended to the class of SLTV Itô systems, while in the recent paper [16], stochastic FTS has been discussed for the class of Markov jump linear timevarying systems. Finally, in [17], the annular stochastic finite-time stability (ASFTS) and stabilisation problems have been tackled for the class of Itô systems with Markov switching.…”
Section: Introductionmentioning
confidence: 99%
“…Definition 1 (Stochastic finite-time boundedness, SFTB 37 ). For a specified short time T, scalars 0 < 𝛾 1 < 𝛾 2 , and matrix G > 0, if the following inequality holds…”
Section: System Descriptionmentioning
confidence: 99%
“…Among others, some fundamental results on FTS of linear system have been extensively discussed in [1,3,9], the robustness problem has been considered in [4] for uncertain linear systems, whereas stochastic systems are studied in [6,31,32]. FTS for nonlinear systems have been comprehensively addressed in [18].…”
Section: Introductionmentioning
confidence: 99%