Adaptive output-feedback tracking for nonlinear systems with rather general control coefficients

被引:24
作者
Yan, Xuehua [1 ,2 ]
Zheng, Wei Xing [2 ]
Liu, Yungang [3 ]
机构
[1] Univ Jinan, Sch Elect Engn, Jinan, Shandong, Peoples R China
[2] Western Sydney Univ, Sch Comp Engn & Math, Sydney, NSW 2751, Australia
[3] Shandong Univ, Sch Control Sci & Engn, Jinan, Shandong, Peoples R China
基金
中国国家自然科学基金; 澳大利亚研究理事会;
关键词
adaptive control; global practical tracking; output-feedback; uncertain nonlinear systems; unknown control coefficients; GLOBAL PRACTICAL TRACKING; UNIVERSAL LAMBDA-TRACKING; UNKNOWN GROWTH-RATE; PERTURBED SYSTEMS; HIGH-GAIN; STABILIZATION;
D O I
10.1002/rnc.4454
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 studies the problem of global practical tracking by output feedback for a class of uncertain nonlinear systems with unmeasured state-dependent growth and unknown time-varying control coefficients. Compared with the closely related works, the remarkableness of this paper is that the upper and lower bounds of unknown control coefficients are not required to be known a priori. Motivated by our recent works, by combining the methods of universal control and deadzone with the backstepping technique and skillfully constructing a novel Lyapunov function, we propose a new adaptive tracking control scheme with appropriate design parameters. The new scheme guarantees that the state of the resulting closed-loop system is globally bounded while the tracking error converges to a prescribed arbitrarily small neighborhood of the origin after a finite time. Two examples, including a practical example, are given to illustrate the effectiveness of the theoretical results.
引用
收藏
页码:1660 / 1679
页数:20
相关论文
共 50 条
[31]   Adaptive fuzzy output-feedback control for output constrained nonlinear systems in the presence of input saturation [J].
Li, Yongming ;
Tong, Shaocheng ;
Li, Tieshan .
FUZZY SETS AND SYSTEMS, 2014, 248 :138-155
[32]   Global adaptive output-feedback tracking with prescribed performance for uncertain nonlinear systems [J].
Wang, Yuan ;
Liu, Yungang .
SCIENCE CHINA-INFORMATION SCIENCES, 2024, 67 (05)
[33]   Output-feedback Adaptive Control for a Class of Nonlinear Systems with Unknown Control Directions [J].
LIU YunGang School of Control Science and EngineeringShandong UniversityJinan PRChina .
自动化学报, 2007, (12) :1306-1312
[34]   Adaptive fuzzy output-feedback control of uncertain SISO nonlinear systems [J].
Liu, Yan-Jun ;
Li, Yuan-Xin .
NONLINEAR DYNAMICS, 2010, 61 (04) :749-761
[35]   Adaptive Fuzzy Output-Feedback Control of Switched Uncertain Nonlinear Systems [J].
Long, Lijun ;
Zhao, Jun .
2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, :2253-2258
[36]   Adaptive fuzzy output-feedback control of uncertain SISO nonlinear systems [J].
Yan-Jun Liu ;
Yuan-Xin Li .
Nonlinear Dynamics, 2010, 61 :749-761
[37]   Global Practical Tracking via Adaptive Output-Feedback for A Class of Uncertain Nonlinear Systems With Polynomial Output Depending Growth Rate [J].
Zhang, Yu ;
Jin, Shaoli .
2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC, 2022, :3139-3144
[38]   Adaptive Output-Feedback Stabilization for a Class of Uncertain Nonlinear Systems [J].
Shang Fang ;
Liu Yungang .
PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 2, 2008, :317-322
[39]   Adaptive output-feedback control for a class of nonlinear systems with actuator failures and input quantisation [J].
Khan, Wakeel ;
Lin, Yan ;
Khan, Sarmad Ullah ;
Ullah, Nasim .
INTERNATIONAL JOURNAL OF CONTROL, 2019, 92 (07) :1609-1619
[40]   Multi-Dimensional Taylor Network-Based Adaptive Output-Feedback Tracking Control for a Class of Nonlinear Systems [J].
Zhu, Shanliang ;
Chu, Lei ;
Wang, Mingxin ;
Han, Yuqun ;
Yang, Shuguo .
IEEE ACCESS, 2020, 8 :77298-77307