Iterative Learning Control for a class of spatially interconnected systems

2017 ◽  
pp. 734-743
Author(s):  
Błażej Cichy ◽  
Petr Augusta ◽  
Krzysztof Gałkowski ◽  
Eric Rogers
Keyword(s):  
Iterative Learning Control ◽  
Learning Control ◽  
Iterative Learning ◽  
Interconnected Systems ◽  
Spatially Interconnected Systems

Robust Iterative Learning Control for Spatially Interconnected Systems using 2D Control Theory*

2021 ◽  
Author(s):  
Bartlomiej Sulikowski ◽  
Krzysztof Galkowski ◽  
Daniel Trzcinski ◽  
Eric Rogers ◽  
Anton Kummert
Keyword(s):  
Control Theory ◽  
Iterative Learning Control ◽  
Learning Control ◽  
Iterative Learning ◽  
Interconnected Systems ◽  
Spatially Interconnected Systems

Iterative learning control for spatially interconnected systems

2014 ◽  
Vol 237 ◽  
pp. 438-445 ◽  
Author(s):  
Byeong-Yeon Kim ◽  
Taekyung Lee ◽  
Young-Soo Kim ◽  
Hyo-Sung Ahn
Keyword(s):  
Iterative Learning Control ◽  
Learning Control ◽  
Iterative Learning ◽  
Interconnected Systems ◽  
Spatially Interconnected Systems

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.

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