This paper deals with adaptive stabilization problems for a class of stochastic onlinear systems with input saturation. A dead zone based model is used to describe saturation henomenon. A stochastic Lyapunov method is applied for systems in strict-feedback form riven by Wiener noises of unknown covariance. An adaptive controller is obtained which uarantees the global asymptotic stabilization in probability. Simulation results are provided o illustrate the ffectiveness of the proposed approach.
MA Yike,JI Haibo.
ADAPTIVE STABILIZATION FOR A CLASS OF STOCHASTIC ONLINEAR SYSTEMS WITH INPUT SATURATION. Journal of Systems Science and Mathematical Sciences, 2012, 32(6): 683-692 https://doi.org/10.12341/jssms11898