Adaptive Tracking Control for Pure-feedback Nonlinear Systems with Semi-bounded Non-affine Functions and Dead-zone

被引:0
|
作者
Zhang, Wenqian [1 ]
Dong, Wenhan [1 ]
Liu, Zongcheng [1 ]
Thou, Yang [1 ]
Feng, Haoming [1 ]
机构
[1] Air Force Engn Univ, Coll Aeronaut Engn, Xian 710038, Shaanxi, Peoples R China
关键词
Adaptive tracking control; dynamic surface control; pure-feedback systems; dead-zone; FUZZY CONTROL; DESIGN;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An adaptive tracking control approach is presented for pure-feedback systems with semi-bounded non-affine functions and dead-zone. The strictive bounded conditions are relaxed by the semi-bounded for continuous non-affine function, and then an adaptive filter is investigated by employing the dynamic surface control technique and invariant set theory. Furthermore, the actual control scheme with dead-zone is considered based on backstepping structure to eventually guarantee the controllability, and then the robust compensator is designed to reduce the influence caused by uncertainties and disturbances. Moreover, the result shows that all the closed-loop signals are hounded and the tracking error can asymptotically converge to a residual set. Finally, a numerical simulation example is stated to demonstrate the feasibility of the proposed scheme.
引用
收藏
页码:623 / 628
页数:6
相关论文
共 50 条
  • [1] Adaptive neural control for a class of non-affine pure-feedback nonlinear systems
    Zuo, Renwei
    Dong, Xinmin
    Chen, Yong
    Liu, Zongcheng
    Shi, Chao
    INTERNATIONAL JOURNAL OF CONTROL, 2019, 92 (06) : 1354 - 1366
  • [2] Adaptive neural control of non-affine pure-feedback systems
    Wang, C
    Hill, DJ
    Ge, SS
    2005 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL & 13TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1 AND 2, 2005, : 298 - 303
  • [3] Direct adaptive neural tracking control for a class of stochastic pure-feedback nonlinear systems with unknown dead-zone
    Wang, Huanqing
    Chen, Bing
    Lin, Chong
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2013, 27 (04) : 302 - 322
  • [4] Adaptive fuzzy control for pure-feedback stochastic nonlinear systems with unknown dead-zone input
    Wang, Huanqing
    Chen, Bing
    Lin, Chong
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2014, 45 (12) : 2552 - 2564
  • [5] A Class of Non-affine Nonlinear Systems Adaptive Neural Networks Backstepping Control with Pure-feedback Prototype
    Li Yang
    Zhang Jianhua
    Wu Xueli
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 1157 - 1162
  • [6] Adaptive neural network variable structure control for a class of non-affine nonlinear pure-feedback systems
    Dept. of Automation, East China Univ. of Science and Technology, Shanghai 200237, China
    Xi Tong Cheng Yu Dian Zi Ji Shu/Syst Eng Electron, 2008, 4 (723-726):
  • [7] Adaptive Control of Non-Affine Pure Feedback Nonlinear Switching Systems
    Chen L.
    Wang Q.
    He G.
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2020, 54 (09): : 981 - 986
  • [8] Adaptive neural fast prescribed performance control for non-affine pure-feedback systems
    Hu J.-B.
    Wang Y.-Y.
    Liu B.-Q.
    Song S.-Y.
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2020, 37 (10): : 2218 - 2230
  • [9] Adaptive neural network sliding mode control for a class of non-affine nonlinear systems with pure-feedback prototype
    Li, Yang
    Zhang, Jianhua
    Wu, Xueli
    Zhu, Quanmin
    2015 7TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC), 2014, : 869 - 874
  • [10] Adaptive Variable Universe Fuzzy Control for a Class of Pure-Feedback Systems with Unknown Dead-Zone
    Wang Rui
    Zhao Liyun
    Li Yu
    PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 486 - 491