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 of [A. Rantzer, Syst. Control 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.
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Yulin Normal Univ, Educ Technol Ctr, Yulin 537000, Peoples R ChinaYulin Normal Univ, Educ Technol Ctr, Yulin 537000, Peoples R China
Liu, Aimin
Li, Lijie
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Yulin Normal Univ, Sch Math & Informat Sci, Guangxi Coll, Yulin 537000, Peoples R China
Yulin Normal Univ, Univ Key Lab Complex Syst Optimizat & Big Data Pr, Yulin 537000, Peoples R ChinaYulin Normal Univ, Educ Technol Ctr, Yulin 537000, Peoples R China