Adaptive Multi-Step Learning Control for Time-Varying Linear Systems

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  • 線形時変系に対する適応多段型学習制御
  • センケイ ジヘンケイ ニ タイスル テキオウ タダンガタ ガクシュウ セイギョ

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In this paper, the adaptive multi-step learning control for continuous-time linear system is studied. Input function uk+1 (t) is calculated from the triplets (uk, ek, ek) and (uk-1, ek-1, ek-1) where ek is tracking error of k-th trial. The weighting coefficients of the triplets are determined adaptively. The convergence of the control law is proved by means of evaluation of the norm of tracking error. Moreover, the learning control is applied to the tracking problem of two-link robot manipulator.

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