Switching Adaptive Controller for the Nonlinear Systems With Uncertainties From Unknown Powers

被引:36
作者
Wang, Meiqiao [1 ]
Liu, Yungang [1 ]
Man, Yongchao [1 ]
机构
[1] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China
来源
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2020年 / 50卷 / 07期
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Switches; Uncertainty; Upper bound; Adaptive systems; Nonlinear systems; Closed loop systems; Global stabilization; switching logic; uncertain nonlinear systems; unknown control directions; unknown nonlinearities; unknown powers; OUTPUT-FEEDBACK STABILIZATION; PARAMETERIZED SYSTEMS; GLOBAL STABILIZATION; DESIGN;
D O I
10.1109/TSMC.2018.2814345
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 paper considers the global stabilization for a class of uncertain nonlinear systems with unknown powers, unknown control directions, and unknown nonlinearities. Mainly due to the presence of the unknown powers which have not known upper bound, no existing methods are applicable to the control problem to be solved. In this paper, to compensate the serious system uncertainties and particularly to overcome the major obstruction from unknown powers, we appeal to the mechanism of switching adaptive feedback. By flexibly combining the domination and the method of adding a power integrator, we propose a new adaptive controller design, whose design parameters are tuned online based on a switching logic. The designed controller will become operative as long as finite switchings happen and will not lead to Zeno phenomenon, and can guarantee the global boundedness as well as ultimate convergence of the resulting closed-loop system. Two numerical examples are given to demonstrate the effectiveness of the developed design scheme.
引用
收藏
页码:2375 / 2385
页数:11
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