Some Controllability Aspects for Iterative Learning Control

被引：9
作者：
Leissner, Patrik [1 ]
Gunnarsson, Svante [2 ]
Norrlof, Mikael [2 ,3 ]
机构：
[1] Autoliv, Linkoping, Sweden
[2] Linkoping Univ, Dept Elect Engn, Linkoping, Sweden
[3] ABB Robot, Vasteras, Sweden
来源：
ASIAN JOURNAL OF CONTROL | 2019年 / 21卷 / 03期
关键词：
Iterative learning control; controllability; output controllability; target path controllability; SYSTEMS;
D O I：
10.1002/asjc.1790
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Some controllability aspects for iterative learning control (ILC) are discussed. Via a batch (lifted) description of the problem a state space model of the system to be controlled is formulated in the iteration domain. This model provides insight and enables analysis of the conditions for and relationships between controllability, output controllability and target path controllability. In addition, the property miminum lead target path controllability is introduced. This property, which is connected to the number of time delays, plays an important role in the design of ILC algorithms. The properties are illustrated by a numerical example.
引用
收藏
页码：1057 / 1063
页数：7
相关论文
共 50 条
  • [21] Iterative Learning Control for Coupled Temperature and Humidity in Buildings
    Minakais, Matt
    Okaeme, Charles C.
    Mishra, Sandipan
    Wen, John T.
    IFAC PAPERSONLINE, 2017, 50 (01): : 13420 - 13425
  • [22] A Survey on Fractional-Order Iterative Learning Control
    Li, Yan
    Chen, YangQuan
    Ahn, Hyo-Sung
    Tian, Guohui
    JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 2013, 156 (01) : 127 - 140
  • [23] A study on iterative learning control for impulsive differential equations
    Liu, Shengda
    Wang, JinRong
    Wei, Wei
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2015, 24 (1-3) : 4 - 10
  • [24] Iterative Learning Control for a Timoshenko Beam with Input Backlash
    Meng, Tingting
    He, Wei
    Huang, Deqing
    Yang, Lung-Jieh
    Sun, Changyin
    2017 6TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS (DDCLS), 2017, : 112 - 116
  • [25] On the Effectiveness of Iterative Learning Control
    Vemula, Anirudh
    Sun, Wen
    Likhachev, Maxim
    Bagnell, J. Andrew
    LEARNING FOR DYNAMICS AND CONTROL CONFERENCE, VOL 168, 2022, 168
  • [26] Intermittent iterative learning control
    Ahn, Hyo-Sung
    Chen, YangQuan
    Moore, Kevin L.
    PROCEEDINGS OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL, 2006, : 144 - +
  • [27] Adaptive Iterative Learning Control With Dead Zone Scheme
    Li Jia
    Chi Rong-Hu
    Zhou Lin
    2011 30TH CHINESE CONTROL CONFERENCE (CCC), 2011, : 2462 - 2465
  • [28] All-pass filtering in iterative learning control
    Ye, Yongqiang
    Tayebi, Abdelhamid
    Liu, Xiaoping
    AUTOMATICA, 2009, 45 (01) : 257 - 264
  • [29] Iterative Learning Control Based on Extracting Initial Iterative Control Signals
    Xu J.-M.
    Wang Y.-D.
    Sun M.-X.
    Zidonghua Xuebao/Acta Automatica Sinica, 2020, 46 (02): : 294 - 306
  • [30] Robust Model Predictive Control Using Iterative Learning
    HosseinNia, S. Hassan
    2015 EUROPEAN CONTROL CONFERENCE (ECC), 2015, : 3514 - 3519
12345