Adaptive Multi-Step Learning Control for Time-Varying Linear Systems
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- YAMASHITA Yuh
- Faculty of Engineering, Hokkaido University
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- MIYAMOTO Junichi
- Production Engineering Development Laboratory, NEC Corporation
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- SHIMA Masasuke
- Faculty of Engineering, Hokkaido University
Bibliographic Information
- Other Title
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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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Description
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.
Journal
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- Transactions of the Institute of Systems, Control and Information Engineers
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Transactions of the Institute of Systems, Control and Information Engineers 7 (4), 134-141, 1994
THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)
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Keywords
Details 詳細情報について
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- CRID
- 1390282680141886592
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- NII Article ID
- 10007137857
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- NII Book ID
- AN1013280X
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- ISSN
- 2185811X
- 13425668
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- NDL BIB ID
- 3873115
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed