Title :
Adaptive stabilization for a class of stochastic nonlinear systems with input saturation
Author :
Yike, Ma ; Haibo, Ji
Author_Institution :
Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
This paper deals with adaptive stabilization problems for a class of stochastic nonlinear systems with input saturation. A dead zone based model is used to describe saturation phenomenon. A stochastic Lyapunov method is applied for systems in strict-feedback form driven by Wiener noises of unknown covariance. An adaptive controller is obtained which guarantees the global asymptotic stabilization in probability. Simulation results are provided to illustrate the effectiveness of the proposed approach.
Keywords :
Lyapunov methods; adaptive control; covariance analysis; feedback; nonlinear control systems; stability; stochastic processes; stochastic systems; Wiener noises; adaptive controller; adaptive stabilization; dead zone based model; global asymptotic stabilization; input saturation; stochastic Lyapunov method; stochastic nonlinear systems class; strict-feedback; unknown covariance; Adaptation models; Adaptive systems; Differential equations; Electronic mail; Noise; Nonlinear systems; Stochastic processes; Adaptive stabilization; Input saturation; Stochastic LaSalle theorem; Wiener noises;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3
