Almost Global Stochastic Stability

dc.creatorvan Handel, Ramon
dc.date2004-11-13
dc.date2005-12-14
dc.date.accessioned2026-07-07T06:39:00Z
dc.date.available2026-07-07T06:39:00Z
dc.descriptionWe develop a method to prove almost global stability of stochastic differential equations in the sense that almost every initial point (with respect to the Lebesgue measure) is asymptotically attracted to the origin with unit probability. The method can be viewed as a dual to Lyapunov's second method for stochastic differential equations and extends the deterministic result in [A. Rantzer, Syst. Contr. Lett., 42 (2001), pp. 161--168]. The result can also be used in certain cases to find stabilizing controllers for stochastic nonlinear systems using convex optimization. The main technical tool is the theory of stochastic flows of diffeomorphisms.
dc.descriptionSubmitted
dc.identifierhttps://arxiv.org/abs/math/0411311
dc.identifierhttp://arxiv.org/abs/math/0411311
dc.identifierSIAM J. Control Optim. 45, 1297-1313 (2006).
dc.identifierdoi:10.1137/040618850
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/100940
dc.subjectProbability
dc.subjectOptimization and Control
dc.subject34F05; 60H10; 93C10; 93D15; 93E15
dc.titleAlmost Global Stochastic Stability
dc.typetext

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