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反復学習制御×適応制御×
分野制御理論制御理論
系統Machine learningMachine learning
提唱年19841983
提唱者Suguru ArimotoKarl J. Astrom
種類algorithmalgorithm
原典Arimoto, S., Kawamura, S., & Miyazaki, F. (1984). Bettering operation of robots by learning. Journal of Robotic Systems, 1(2), 123-140. DOI ↗Astrom, K. J., & Wittenmark, B. (1983). Computer-Controlled Systems: Theory and Design. Prentice Hall. link ↗
別名ILC, Learning Control, Repetitive ControlSelf-Tuning Control, Parameter Estimation Control
関連43
概要Iterative Learning Control (ILC) is a control method for systems that perform the same task repeatedly (trajectory tracking over a fixed time interval). The key idea is to use error information from previous trials to update the input for the next trial, progressively improving tracking accuracy. Pioneered by Arimoto et al. in 1984, ILC is ideal for robotic manufacturing, semiconductor processing, and any application where the same motion must be repeated many times with high precision.Adaptive Control is a control strategy that adjusts controller parameters in real-time based on online system identification to maintain performance despite changing plant dynamics or uncertain parameters. Pioneered by Astrom and Wittenmark, adaptive control enables robust operation in time-varying environments, from aircraft with fuel depletion to industrial systems with aging components.
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ScholarGate手法を比較: Iterative Learning Control · Adaptive Control. 2026-06-15に以下より取得 https://scholargate.app/ja/compare