A Neurofuzzy-Based Adaptive Predictor for Control of Nonlinear Systems

• HU Jinglu

  Graduate School of Information Science and Electrical Engineering, Kyushu University

• HIRASAWA Kotaro

  Graduate School of Information Science and Electrical Engineering, Kyushu University

• KUMAMARU Kousuke

  Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology

書誌事項

タイトル別名

• Neurofuzzy-Based Adaptive Predictor for Control of Nonlinear Systems

抄録

This paper proposes an adaptive predictor for general nonlinear systems based on the use of a class of neurofuzzy models. The neurofuzzy-based predictor can be interpreted as a linear predictor network consisting of a global linear predictor and several local linear predictors with interpolation. It has some distinctive features as well as good prediction ability: its parameters have explicit meanings useful for initial value setting in parameter adjustment; it may be transformed into a form linear for the variables synthesized in control systems, which makes deriving a control law straightforward. Simulations on applying it to adaptive control of nonlinear systems demonstrate its usefulness.

収録刊行物

• 計測自動制御学会論文集

  計測自動制御学会論文集 35 (8), 1060-1068, 1999

  公益社団法人 計測自動制御学会

キーワード

• nonlinear system
• neurofuzzy model
• quasi-ARMAX modeling
• adaptive prediction
• nonlinear control

詳細情報

• CRID: 1390001204502163328
• NII論文ID: 10004576692
• NII書誌ID: AN00072392
• DOI: 10.9746/sicetr1965.35.1060
• ISSN: 18838189
• ISSN: 04534654
• NDL書誌ID: 4834798
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I4834798
• Web Site: https://www.jstage.jst.go.jp/article/sicetr1965/35/8/35_8_1060/_pdf
• 本文言語コード: en
• データソース種別:
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  • NDL
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  • CiNii Articles
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