Adaptive Dynamic Surface Control of Stochastic Pure-Feedback Nonlinear Systems including Dynamic Uncertainties

被引：0
|
作者：
Gao Hua-ting [1 ]
Zhang Tian-ping [1 ]
Wang Ran-ran [1 ]
机构：
[1] Yangzhou Univ, Dept Automat, Coll Informat Engn, Yangzhou 225127, Jiangsu, Peoples R China
来源：
2013 32ND CHINESE CONTROL CONFERENCE (CCC) | 2013年
关键词：
stochastic pure-feedback nonlinear systems; unmodeled dynamics; neural networks; dynamic surface 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：
A more general class of stochastic nonlinear systems with unmodeled dynamics and dynamic disturbances arc considered in this paper. Utilizing the approximation capability of neural networks and Young's inequality, an adaptive dynamic surface control scheme is proposed, which extends the approach of dynamic surface control to the stochastic systems. By theoretical analysis, it is shown that all signals in the closed-loop systems are bounded in probability. A simulation example further demonstrates the effectiveness of the control scheme.
引用
收藏
页码：1558 / 1563
页数：6
相关论文
共 50 条
  • [1] Adaptive Neural Dynamic Surface Control of Pure-Feedback Nonlinear Systems With Full State Constraints and Dynamic Uncertainties
    Zhang, Tianping
    Xia, Meizhen
    Yi, Yang
    Shen, Qikun
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 47 (08): : 2378 - 2387
  • [2] Adaptive dynamic surface control for pure-feedback systems
    Zhao, Qichao
    Lin, Yan
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2012, 22 (14) : 1647 - 1660
  • [3] Adaptive NN Tracking Control for Pure-Feedback Stochastic Nonlinear Systems Based on Dynamic Surface Control
    Cui Guozeng
    Zhang Baoyong
    2014 33RD CHINESE CONTROL CONFERENCE (CCC), 2014, : 8735 - 8740
  • [4] Adaptive Fuzzy Output Feedback Dynamic Surface Control of Interconnected Nonlinear Pure-Feedback Systems
    Li, Yongming
    Tong, Shaocheng
    Li, Tieshan
    IEEE TRANSACTIONS ON CYBERNETICS, 2015, 45 (01) : 138 - 149
  • [5] Adaptive Dynamic Surface Control for A Class of Uncertain Nonlinear Systems in Pure-Feedback Form
    Wang, Dan
    Peng, Zhouhua
    Li, Tieshan
    Li, Xiaoqiang
    Sun, Gang
    PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009), 2009, : 1956 - 1961
  • [6] Adaptive Dynamic Surface Control for a Class of Nonlinear Pure-Feedback Systems with Parameter Drift
    He, Cheng
    Wu, Jian
    Ying, Jin
    Dai, Jiyang
    Zhang, Zhe
    Jiang, Liangxing
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020
  • [7] Adaptive neural dynamic surface control of MIMO pure-feedback nonlinear systems with output constraints
    Liu, Heqing
    Zhang, Tianping
    Xia, Xiaonan
    NEUROCOMPUTING, 2019, 333 : 101 - 109
  • [8] Adaptive Neural Control for a Class of Pure-Feedback Nonlinear Systems via Dynamic Surface Technique
    Liu, Zongcheng
    Dong, Xinmin
    Xue, Jianping
    Li, Hongbo
    Chen, Yong
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 27 (09) : 1969 - 1975
  • [9] Adaptive Dynamic Surface Control of Pure-feedback Nonlinear Systems in Pseudo-affine Form
    Duan Guangren
    Zhang Zhikai
    Hou Mingzhe
    PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 1098 - 1103
  • [10] Robust adaptive prescribed performance dynamic surface control for uncertain nonlinear pure-feedback systems
    Jia, Fujin
    Yan, Xiao
    Wang, Xuhuan
    Lu, Junwei
    Li, Yongmin
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 357 (05): : 2752 - 2772
12345