A PD-type iterative learning control algorithm for singular discrete systems

被引:27
作者
Tian, Senping [1 ]
Liu, Qian [1 ]
Dai, Xisheng [2 ]
Zhang, Jianxiang [2 ]
机构
[1] South China Univ Technol, Sch Automat Sci & Engn, Guangzhou 510640, Guangdong, Peoples R China
[2] Guangxi Univ Sci & Technol, Sch Elect & Informat Engn, Liuzhou 545006, Peoples R China
来源
ADVANCES IN DIFFERENCE EQUATIONS | 2016年
基金
中国国家自然科学基金;
关键词
singular discrete systems; PD-type iterative learning control; convergence analysis;
D O I
10.1186/s13662-016-1047-4
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Based on a specific decomposition of discrete singular systems, in this paper, we study the problem of state tracking control by using PD-type algorithm of iterative learning control. The convergence conditions and theoretical analysis of the PD-type algorithm are presented in detail. An illustrative example supporting the theoretical results and the effectiveness of the PD-type iterative learning control algorithm for discrete singular systems is shown at the end of the paper.
引用
收藏
页数:9
相关论文
共 47 条
  • [31] Iterative Learning Control for Linear Differential Systems With Additional Performance Requirements
    Wang, Lei
    Yang, Huizhong
    Paszke, Wojciech
    Tao, Hongfeng
    IEEE ACCESS, 2020, 8 : 107013 - 107024
  • [32] Decentralized iterative learning control for a class of large scale interconnected dynamical systems
    Wu, Hansheng
    JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2007, 327 (01) : 233 - 245
  • [33] Stability analysis of quantized iterative learning control systems using lifting representation
    Bu, Xuhui
    Hou, Zhongsheng
    Cui, Lizhi
    Yang, Junqi
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2017, 31 (09) : 1327 - 1336
  • [34] Iterative Learning Control for Output Tracking of Nonlinear Systems With Unavailable State Information
    Li, Xuefang
    Shen, Dong
    Ding, Beichen
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (09) : 5085 - 5092
  • [35] Neural-network-based optimal tracking control scheme for a class of unknown discrete-time nonlinear systems using iterative ADP algorithm
    Huang, Yuzhu
    Liu, Derong
    NEUROCOMPUTING, 2014, 125 : 46 - 56
  • [36] Research on Automatic Train Operation Algorithm Based on Non-parametric Iterative Learning Control
    He Z.
    Xu N.
    Tiedao Xuebao/Journal of the China Railway Society, 2020, 42 (12): : 90 - 96
  • [37] Adaptive iterative learning control for unknown linear time-varying continuous systems
    Afsharnia, Fateme
    Madady, Ali
    Menhaj, Mohammad Bagher
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2020, 42 (05) : 981 - 996
  • [38] Iterative learning control for linear parabolic distributed parameter systems with multiple point sensors
    Liu, Yaqiang
    Lai, Jialun
    Jin, Zengwang
    Ren, Zhigang
    Xie, Shengli
    Wang, Yalin
    OPTIMAL CONTROL APPLICATIONS & METHODS, 2023, 44 (03) : 1174 - 1184
  • [39] ITERATIVE LEARNING CONTROL FOR NONLINEAR SYSTEMS WITH DATA DROPOUTS AT BOTH MEASUREMENT AND ACTUATOR SIDES
    Jin, Yanqiong
    Shen, Dong
    ASIAN JOURNAL OF CONTROL, 2018, 20 (04) : 1624 - 1636
  • [40] Robust Non-fragile Control for Non-linear Singular Discrete Systems with Time-delay
    Fu Xingjian
    Liu Xiaohe
    Hou Ming
    Li Yingchun
    PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012), 2012, : 1139 - 1143