Observer Based Iterative Learning Control of Uncertain Plant

被引：3
|
作者：
Emelianova, Julia [1 ]
Pakshin, Pavel [1 ,2 ]
Emelianov, Mikhail [1 ]
机构：
[1] RE Alekseev Nizhny Novgorod State Tech Univ, Arzamas Polytech Inst, 19 Kalinina St, Arzamas 607227, Russia
[2] Lobachevsky State Univ Nizhny Novgorod, Prospekt Gagarina 23, Nizhnii Novgorod 603950, Russia
来源：
IFAC PAPERSONLINE | 2019年 / 52卷 / 29期
基金：
俄罗斯科学基金会;
关键词：
iterative learning control; design method; parametric uncertainty; state observer; repetitive processes; vector Lyapunov function; dissipativity;
D O I：
10.1016/j.ifacol.2019.12.666
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, differential and discrete linear systems with the affine model of parametric uncertainty are considered. A new method of iterative learning control design for such systems is proposed. This method is based on using a full state observer in combination with the method of vector Lyapunov functions and dissipativity theory for repetitive processes. An example demonstrating the features and advantages of the new design is given. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：298 / 303
页数：6
相关论文
共 50 条
  • [21] A Simplified Data-driven Optimal Iterative Learning Control based on Iterative Extended State Observer
    Ai, Wei
    Lin, Peilin
    Li, Xiangyang
    PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20), 2020, : 971 - 975
  • [22] Pulse neural network–based adaptive iterative learning control for uncertain robots
    Xiongxiong He
    Hualiang Zhuang
    Duan Zhang
    Zhenhua Qin
    Neural Computing and Applications, 2013, 23 : 1885 - 1890
  • [23] Spacecraft attitude fault-tolerant control based on iterative learning observer and control allocation
    Hu, Qinglei
    Niu, Guanglin
    Wang, Chenliang
    AEROSPACE SCIENCE AND TECHNOLOGY, 2018, 75 : 245 - 253
  • [24] An Improved Approach to Iterative Learning Control for Uncertain Systems
    Armstrong, Ashley A.
    Wagoner Johnson, Amy J.
    Alleyne, Andrew G.
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2021, 29 (02) : 546 - 555
  • [25] Adaptive iterative learning control of uncertain robotic systems
    Choi, JY
    Lee, JS
    IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 2000, 147 (02): : 217 - 223
  • [26] Robust Iterative Learning Control for Nonrepetitive Uncertain Systems
    Meng, Deyuan
    Moore, Kevin L.
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (02) : 907 - 913
  • [27] Noncausal iterative learning control for uncertain LTI systems
    Goldsmith, PB
    PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS 2003, VOL 1-3, 2003, : 293 - 298
  • [28] Iterative Learning Control for Actuator Fault Uncertain Systems
    Wang, Lei
    Dong, Liangxin
    Chen, Yiyang
    Wang, Keqing
    Gao, Feng
    SYMMETRY-BASEL, 2022, 14 (10):
  • [29] Optimal Iterative Learning Control with Uncertain Reference Points
    Son, Tong Duy
    Ahn, Hyo-Sung
    2012 IEEE MULTI-CONFERENCE ON SYSTEMS AND CONTROL (2012 IEEE MSC), 2012, : 1244 - 1248
  • [30] Performance Index Based Observer-Type Iterative Learning Control for Consensus Tracking of Uncertain Nonlinear Fractional-Order Multiagent Systems
    Wang, Liming
    Zhang, Guoshan
    COMPLEXITY, 2019, 2019
12345