Global Stabilization of a Class of Stochastic Nonlinear Time-Delay Systems With SISS Inverse Dynamics

被引:68
作者
Wang, Hui [1 ,2 ]
Zhu, Quanxin [2 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Math & Stat, Nanjing 210044, Peoples R China
[2] Hunan Normal Univ, Sch Math & Stat, MOE LCSM, Changsha 410081, Peoples R China
基金
中国国家自然科学基金;
关键词
Delays; Uncertainty; Adaptive control; Time-varying systems; State feedback; Nonlinear dynamical systems; state feedback; stochastic input-to-state stability (SISS) inverse dynamics; stochastic system; time-varying delay; unknown power; OUTPUT-FEEDBACK STABILIZATION; STATE-FEEDBACK; ADAPTIVE STABILIZATION; TRACKING;
D O I
10.1109/TAC.2020.3005149
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article studies the adaptive state feedback stabilization problem of stochastic nonlinear systems with many uncertainties, such as parametric uncertainties, time-varying delay, unknown powers, and stochastic inverse dynamics. By virtue of the adding-a-power-integrator technique, an adaptive control scheme together with a novel state feedback control law is proposed to deal with these unknowns. Compared with the existing literature, both of adaptive dynamics, higher and lower powers are introduced into the construction of our controller. Based on some ideas of Lyapunov function, we analyze the global stabilization of the whole system. Finally, a simulation example is given to show the effectiveness of our theoretical results.
引用
收藏
页码:4448 / 4455
页数:8
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