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Title
Japanese:ガウスフィルタに基づくSIエンジンの学習制御 
English:Learning Control of SI Engine Based on Gaussian Filter 
Author
Japanese: 玉木 俊平, 坂柳 佳宏, 伊吹 竜也, 三平 満司.  
English: Shunpei Tamaki, YOSHIHIRO SAKAYANAGI, Tatsuya Ibuki, MITSUJI SAMPEI.  
Language Japanese 
Journal/Book name
Japanese:第1回計測自動制御学会制御部門マルチシンポジウム予稿集 
English: 
Volume, Number, Page         pp. 427-432
Published date Mar. 4, 2014 
Publisher
Japanese: 
English: 
Conference name
Japanese:第1回計測自動制御学会制御部門マルチシンポジウム 
English: 
Conference site
Japanese:東京 
English:Tokyo 
Abstract This paper newly proposes an on-line learning method for adaptation maps by using Gaussian filters. In this method, man-hour for calibration of adaptation maps can be decreased, and complicated structures of adaptation maps are learned without any prior knowledge. Moreover, by the effect of Gaussian filter, smoothed maps can be created even under noisy conditions or a few measured points. We also introduce improvements of the algorithm to cope with engine deterioration caused by aging. In this work, the proposed method is applied to minimum advance for best torque control on actual vehicles with just one driving date, and the accuracy of the learned map is verified through simulations and experiments.

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