Adaptive backstepping-based tracking control of a class of uncertain switched nonlinear systems

被引:93
|
作者
Lai, Guanyu [1 ]
Liu, Zhi [1 ]
Zhang, Yun [1 ]
Chen, C. L. Philip [2 ]
Xie, Shengli [1 ]
机构
[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China
[2] Univ Macau, Fac Sci & Technol, Macau 999078, Peoples R China
基金
中国国家自然科学基金; 国家教育部博士点专项基金资助;
关键词
Adaptive control; Robust control; Switched nonlinear systems; Backstepping; Tuning function; NEURAL-CONTROL; FUZZY CONTROL; STABILIZATION; DESIGN;
D O I
10.1016/j.automatica.2017.12.008
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, we propose two adaptive control schemes to solve the output tracking control problem of a class of uncertain switched nonlinear systems. The first is a robust scheme constructed based on common Lyapunov function method, aiming to achieve the insensitivity of closed-loop system to parameter switches by estimating the bound on switching parameters. It is analyzed that the system stability under arbitrary switching is established with such a scheme, but the control input required may be relatively large since the estimate of the bound on switching parameters is utilized. To avoid this, we further propose a direct adaptive control scheme by estimating the switching parameters directly, and derive a dwell-time condition for parameter switches based on an extended multiple Lyapunov functions method newly developed, such that the global boundedness of all the closed-loop signals and the convergence of tracking error to a residual around zero are ensured. The effectiveness of the proposed control schemes is illustrated through simulation studies. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:301 / 310
页数:10
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