Asymptotic tracking control for state-constrained strict-feedback systems with non-vanishing uncertainties

被引:5
|
作者
Zuo, Gewei [1 ,2 ]
Wang, Yujuan [1 ]
机构
[1] Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China
[2] Star Inst Intelligent Syst SIIS, Chongqing, Peoples R China
基金
中国国家自然科学基金;
关键词
adaptive control; asymptotic tracking; full-state constraints; strict-feedback systems; BARRIER LYAPUNOV FUNCTIONS; STOCHASTIC NONLINEAR-SYSTEMS; TIME-VARYING FEEDBACK; ADAPTIVE-CONTROL; NEURAL-NETWORK;
D O I
10.1002/rnc.6123
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 proposes an asymptotic tracking control solution for a class of strict-feedback systems subject to asymmetric time-varying full-state constraints and non-vanishing uncertainties. Our method features with the complete rejection of the non-vanishing uncertainties rather than partial attenuation. This is done by the effective compensation of the extra residual terms produced by the non-vanishing uncertainties in the stability analysis by adding an adaptive term into the first-order filter. Our method also features with the removing of the feasibility conditions. Further, all internal signals are ensured to be bounded. The effectiveness of the proposed control scheme is confirmed via an illustrative example.
引用
收藏
页码:6017 / 6034
页数:18
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