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An adaptive state-feedback stabilization is inves- tigated for a class of high-order stochastic nonlinear systems in which the upper bound of the function f_i(.)depends on the state x_(i+1)besides the states x_1,…,x_i and z.A smooth adaptive state-feedback controller is designed,which guarantees that the closed-loop system has an almost surely unique solution,and the equilibrium is globally stable in probability.A numerical simu- lation example is given to show the systematic design and the effectiveness of controller.
An adaptive state-feedback stabilization is inves- tigated for a class of high-order stochastic nonlinear systems in which the upper bound of the function f_i (.) Depends on the state x_ (i + 1) besides the states x_1, ..., x_i and zA smooth adaptive state-feedback controller is designed, which guarantees that the closed-loop system has an almost surely unique solution, and the equilibrium is globally stable in probability. A numerical simu- lation example is given to show the systematic design and the effectiveness of controller.