Stability and convergence issues in iterative learning control. II

2002 ◽  
Author(s):  
L.M. Hideg
Keyword(s):  
Iterative Learning Control ◽  
Learning Control ◽  
Iterative Learning ◽  
Stability And Convergence

An Iterative Learning Control Approach to Multi-Agent Formations

2015 ◽  
Author(s):  
Michael Quann ◽  
Kira Barton
Keyword(s):  
Trajectory Tracking ◽  
Iterative Learning Control ◽  
Learning Control ◽  
Iterative Learning ◽  
Stability And Convergence ◽  
Individual Agent ◽  
Convergence Conditions ◽  
Control Approach ◽  
Formation Tracking ◽  
Multi Agent

This paper presents an iterative learning control (ILC) based method for trading off both individual and formation tracking for multiple agents with heterogeneous dynamics. The proposed framework provides precise trajectory tracking for systems involving repetitive, cooperative motion. The frequency domain based controller has the capability of being able to shift weighting between the desire for precise formations amongst the agents and precise trajectory tracking for each individual agent. Stability and convergence conditions are shown and the proposed controller is validated through simulations.

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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