Iterative learning control for network systems with communication delay or data dropout

2009 ◽  
Author(s):  
Chunping Liu ◽  
Jianxin Xu ◽  
Jun Wu
Keyword(s):  
Iterative Learning Control ◽  
Learning Control ◽  
Iterative Learning ◽  
Communication Delay ◽  
Network Systems ◽  
Data Dropout

scholarly journals Iterative Learning Control for Remote Control Systems with Communication Delay and Data Dropout

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Chunping Liu ◽  
Jianxin Xu ◽  
Jun Wu
Keyword(s):  
Remote Control ◽  
Control Systems ◽  
Iterative Learning Control ◽  
A Priori ◽  
Learning Control ◽  
Iterative Learning ◽  
Communication Delay ◽  
Data Dropout ◽  
The One ◽  
Asymptotical Convergence

Iterative learning control (ILC) is applied to remote control systems in which communication channels from the plant to the controller are subject to random data dropout and communication delay. Through analysis, it is shown that ILC can achieve asymptotical convergence along the iteration axis, as far as the probabilities of the data dropout and communication delay are knowna priori. Owing to the essence of feedforward-based control ILC can perform trajectory-tracking tasks while both the data-dropout and the one-step delay phenomena are taken into consideration. Theoretical analysis and simulations validate the effectiveness of the ILC algorithm for network-based control tasks.

Synchronizing non-identical time-varying delayed neural network systems via iterative learning control

2020 ◽  
Vol 411 ◽  
pp. 406-415
Author(s):  
Hao Qiang ◽  
Zongzong Lin ◽  
Xiaoguang Zou ◽  
Changkai Sun ◽  
Wenlian Lu
Keyword(s):  
Neural Network ◽  
Iterative Learning Control ◽  
Learning Control ◽  
Iterative Learning ◽  
Time Varying ◽  
Network Systems ◽  
Delayed Neural Network
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