Stabilization analysis of a class of nonlinear time delay systems with time-varying full-state constraints

被引:1
|
作者
He, Youguo [1 ]
Zhou, Yu [1 ]
Wang, Dapeng [2 ]
Liu, Shaogang [2 ]
Wei, Xiuping [3 ]
机构
[1] Jiangsu Univ, Automot Engn Res Inst, Zhenjiang 212013, Peoples R China
[2] Harbin Engn Univ, Coll Mech & Elect Engn, Harbin, Peoples R China
[3] Zhenjiang Dongfang Elect Heating Technol Co Ltd, Zhenjiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Time delay systems; time-varying full-state constraints; dynamic surface control; barrier Lyapunov functions; LYAPUNOV-RAZUMIKHIN FUNCTIONS; DYNAMIC SURFACE CONTROL; ROBUST STABILITY ANALYSIS; TRACKING CONTROL; NEURAL-CONTROL;
D O I
10.1080/00051144.2023.2190694
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a novel tracking control strategy is proposed to address the problem of stabilization of a class of nonlinear time delay systems with time-varying full-state constraints. The effect of the nonlinear system resulting from the time delays is canceled out with the utilization of the novel iterative procedures optimized by dynamic surface control (DSC) and the appropriate time-varying asymmetric barrier Lyapunov functions (ABLFs) are employed to stem the violation of time-varying states constraints. Finally, it is proved that the proposed control method guarantees the uniformly ultimate boundedness of all the signals in the closed-loop system, meanwhile, the tracking errors converge to a small interval. The effectiveness of the presented control strategy is confirmed by a simulation example provided in this paper.
引用
收藏
页码:496 / 507
页数:12
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