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

被引:108
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
国家教育部博士点专项基金资助; 中国国家自然科学基金;
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
相关论文
共 35 条
[1]  
[Anonymous], 1995, NONLINEAR ADAPTIVE C
[2]   Switching control of thrust regulation and inlet buzz protection for ducted rocket [J].
Bao, Wen ;
Li, Bin ;
Chang, Juntao ;
Niu, Wenyu ;
Yu, Daren .
ACTA ASTRONAUTICA, 2010, 67 (7-8) :764-773
[3]   Adaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach [J].
Chen, Bing ;
Liu, Xiaoping P. ;
Ge, Shuzhi Sam ;
Lin, Chong .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2012, 20 (06) :1012-1021
[4]   Novel adaptive neural control design for nonlinear MIMO time-delay systems [J].
Chen, Bing ;
Liu, Xiaoping ;
Liu, Kefu ;
Lin, Chong .
AUTOMATICA, 2009, 45 (06) :1554-1560
[5]   Direct adaptive fuzzy control of nonlinear strict-feedback systems [J].
Chen, Bing ;
Liu, Xiaoping ;
Liu, Kefu ;
Lin, Chong .
AUTOMATICA, 2009, 45 (06) :1530-1535
[6]   Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems [J].
Chen, C. L. Philip ;
Wen, Guo-Xing ;
Liu, Yan-Jun ;
Liu, Zhi .
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 46 (07) :1591-1601
[7]   Adaptive stabilization of a class of uncertain switched nonlinear systems with backstepping control [J].
Chiang, Ming-Li ;
Fu, Li-Chen .
AUTOMATICA, 2014, 50 (08) :2128-2135
[8]   Neural-networked adaptive tracking control for switched nonlinear pure-feedback systems under arbitrary switching [J].
Jiang, Bin ;
Shen, Qikun ;
Shi, Peng .
AUTOMATICA, 2015, 61 :119-125
[9]   Quantisation-based robust control of uncertain non-strict-feedback non-linear systems under arbitrary switching [J].
Lai, Guanyu ;
Liu, Zhi ;
Zhang, Yun ;
Chen, Chun Lung Philip .
IET CONTROL THEORY AND APPLICATIONS, 2016, 10 (05) :582-589
[10]   Approximation-based adaptive neural output feedback control for a class of uncertain switched stochastic nonlinear systems with average dwell time condition [J].
Li, Yuan-Xin ;
Yang, Guang-Hong .
NEUROCOMPUTING, 2016, 186 :160-169