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We 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.
Submitted
Probability (math.PR), 34F05; 60H10; 93C10; 93D15; 93E15, 93D15, 510, 93E15, nonlinear stochastic control, stochastic stability, 34F05, Optimization and Control (math.OC), stochastic flows, 93C10, FOS: Mathematics, 60H10, Mathematics - Optimization and Control, Caltech Library Services, Mathematics - Probability
Probability (math.PR), 34F05; 60H10; 93C10; 93D15; 93E15, 93D15, 510, 93E15, nonlinear stochastic control, stochastic stability, 34F05, Optimization and Control (math.OC), stochastic flows, 93C10, FOS: Mathematics, 60H10, Mathematics - Optimization and Control, Caltech Library Services, Mathematics - Probability
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influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
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