{"title":"A self-tuning fuzzy filtered-U algorithm with the application of active noise control","authors":"Cheng-Yuan Chang, K. Shyu","doi":"10.1109/IECON.2001.976528","DOIUrl":null,"url":null,"abstract":"The proposed fuzzy method guarantees an active noise control (ANC) system against unstable poles as in the conventional filtered-U design; the performance is hence improved. Besides, the fuzzy algorithm uses the input-output data relationships of the ANC system instead to construct the control rules. The design complexity is consequently reduced.","PeriodicalId":345608,"journal":{"name":"IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.2001.976528","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The proposed fuzzy method guarantees an active noise control (ANC) system against unstable poles as in the conventional filtered-U design; the performance is hence improved. Besides, the fuzzy algorithm uses the input-output data relationships of the ANC system instead to construct the control rules. The design complexity is consequently reduced.
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