Arbitrary settling time control with prescribed performance for high-order nonlinear systems

被引:4
作者
Qi, Xuelei [1 ]
Ma, Hongjun [2 ,3 ]
Jing, Yuanwei [1 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang, Peoples R China
[2] South China Univ Technol, Sch Automat Sci & Engn, Key Lab Autonomous Syst & Networked Control, Minist Educ, Guangzhou, Peoples R China
[3] South China Univ Technol, Unmanned Aerial Vehicle Syst Engn Technol Res Ctr, Guangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
arbitrary settling time control; backstepping technique; high-order nonlinear systems; prescribed performance control; TRACKING CONTROL; STABILIZATION;
D O I
10.1002/asjc.2934
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 an arbitrary convergence time tracking controller design problem for high-order nonlinear systems. Our aim is to enhance the existing free-will arbitrary time control (FATC), which cannot track time-varying reference signals. To do so, a new nonautonomous equation is firstly introduced to enable an arbitrary settling time stability for one-order systems. Then, a prescribed performance control (PPC) technology is integrated for general high order systems. By a backstepping Lyapunov analysis with iteratively contructed nonautonomous equations, it is proved that the closed-loop system satisfies the prescribed performance and all signals of the closed-loop system are arbitrary settling time stable (ASTS). Compared with the existing results, the tracking control problem with arbitrary convergence time is addressed by a continuous control law, which shows a better transient performance also. Simulation results confirm the effectiveness of the proposed control method.
引用
收藏
页码:2424 / 2432
页数:9
相关论文
共 31 条
  • [1] Finite-time control of linear systems subject to parametric uncertainties and disturbances
    Amato, F
    Ariola, M
    Dorato, P
    [J]. AUTOMATICA, 2001, 37 (09) : 1459 - 1463
  • [2] Bechlioulis CP, 2008, MED C CONTR AUTOMAT, P21
  • [3] Performance Guaranteed Consensus Tracking Control of Nonlinear Multiagent Systems: A Finite-Time Function-Based Approach
    Cao, Ye
    Song, Yongduan
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (04) : 1536 - 1546
  • [4] Fixed-time stabilisation for a class of high-order non-linear systems
    Chen, Chih-Chiang
    Sun, Zong-Yao
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2018, 12 (18) : 2578 - 2587
  • [5] Adaptive Fuzzy Practical Fixed-Time Tracking Control of Nonlinear Systems
    Chen, Ming
    Wang, Huanqing
    Liu, Xiaoping
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29 (03) : 664 - 673
  • [6] Finite-time adaptive fault-tolerant control for rigid spacecraft attitude tracking
    Gao, Shihong
    Jing, Yuanwei
    Liu, Xiaoping
    Dimirovski, Georgi M.
    [J]. ASIAN JOURNAL OF CONTROL, 2021, 23 (02) : 1003 - 1024
  • [7] Convolutional Network With Twofold Feature Augmentation for Diabetic Retinopathy Recognition From Multi-Modal Images
    Hua, Cam-Hao
    Kim, Kiyoung
    Thien Huynh-The
    You, Jong In
    Yu, Seung-Young
    Le-Tien, Thuong
    Bae, Sung-Ho
    Lee, Sungyoung
    [J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 25 (07) : 2686 - 2697
  • [8] Khalil H., 2002, NONLINEAR SYSTEMS, V3
  • [9] Fuzzy Tracking Control for Nonlinear Networked Systems
    Li, Hongyi
    Wu, Chengwei
    Jing, Xingjian
    Wu, Ligang
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2017, 47 (08) : 2020 - 2031
  • [10] LI Y, 2022, ASIAN J CONTROL, P1