Adaptive state-feedback stabilization for a large class of high-order stochastic nonlinear systems
Strict-feedback form
DOI:
10.1016/j.automatica.2011.01.084
Publication Date:
2011-02-27T13:44:52Z
AUTHORS (3)
ABSTRACT
Under the more general conditions on the power order and the nonlinear functions, this paper investigates the problem of adaptive state-feedback stabilization for a class of high-order stochastic nonlinear systems with time-varying control coefficients. Based on the backstepping design method and homogeneous domination technique, the closed-loop system can be proved to be globally stable in probability and the states can be regulated to the origin almost surely. The efficiency of the state-feedback controller is demonstrated by a simulation example.
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