Feedback-assisted iterative learning control based on an inverse process model

1994 ◽  
Vol 4 (2) ◽  
pp. 77-89 ◽  
Author(s):  
K.S. Lee ◽  
S.H. Bang ◽  
K.S. Chang
Keyword(s):  
Iterative Learning Control ◽  
Process Model ◽  
Learning Control ◽  
Iterative Learning ◽  
Inverse Process

scholarly journals PD-Type Iterative Learning Control for Uncertain Spatially Interconnected Systems

Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1528
Author(s):  
Longhui Zhou ◽  
Hongfeng Tao ◽  
Wojciech Paszke ◽  
Vladimir Stojanovic ◽  
Huizhong Yang
Keyword(s):  
Iterative Learning Control ◽  
Process Model ◽  
Singular System ◽  
Learning Control ◽  
Iterative Learning ◽  
Interconnected Systems ◽  
Space Model ◽  
Repetitive Process ◽  
Spatially Interconnected Systems ◽  
The Stability

This paper puts forward a PD-type iterative learning control algorithm for a class of discrete spatially interconnected systems with unstructured uncertainty. By lifting and changing the variable of discrete space model, the uncertain spatially interconnected systems is converted into equivalent singular system, and the general state space model is derived in view of singular system theory. Then, the state error and output error information are used to design the iterative learning control law, transforming the controlled system into an equivalent repetitive process model. Based on the stability theory of repetitive process, sufficient condition for the stability of the system along the trial is given in the form of linear matrix inequalities (LMIs). Finally, the effectiveness of the proposed algorithm is verified by the simulation of ladder circuits.

Iterative Learning Control for a Class of Linear Discrete-time Switched Systems

2014 ◽  
Vol 39 (9) ◽  
pp. 1564-1569 ◽  
Author(s):  
Xu-Hui BU ◽  
Fa-Shan YU ◽  
Zhong-Sheng HOU ◽  
Fu-Zhong WANG
Keyword(s):  
Discrete Time ◽  
Switched Systems ◽  
Iterative Learning Control ◽  
Learning Control ◽  
Iterative Learning

scholarly journals Application of the Dynamic Iterative Learning Control to the Heteroplanar Active Magnetic Bearing

2020 ◽  
Vol 53 (2) ◽  
pp. 1511-1516
Author(s):  
Lukasz Hladowski ◽  
Arkadiusz Mystkowski ◽  
Krzysztof Galkowski ◽  
Eric Rogers ◽  
Bing Chu
Keyword(s):  
Iterative Learning Control ◽  
Learning Control ◽  
Magnetic Bearing ◽  
Iterative Learning ◽  
Active Magnetic Bearing
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