{"title":"主动噪声控制中的二次路径模型辨识","authors":"J. Figwer","doi":"10.1109/MMAR.2010.5587253","DOIUrl":null,"url":null,"abstract":"In the paper an on-line secondary path model identification problem for feedforward as well as feedback adaptive active noise control systems working with a deterministic constant or random sampling interval is discussed. A focus on almost sure convergence of identified model to true plant in the case of information about secondary path hidden in between single multiplicities of the quant of A/D converter used is given.","PeriodicalId":336219,"journal":{"name":"2010 15th International Conference on Methods and Models in Automation and Robotics","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Secondary path model identification in active noise control\",\"authors\":\"J. Figwer\",\"doi\":\"10.1109/MMAR.2010.5587253\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper an on-line secondary path model identification problem for feedforward as well as feedback adaptive active noise control systems working with a deterministic constant or random sampling interval is discussed. A focus on almost sure convergence of identified model to true plant in the case of information about secondary path hidden in between single multiplicities of the quant of A/D converter used is given.\",\"PeriodicalId\":336219,\"journal\":{\"name\":\"2010 15th International Conference on Methods and Models in Automation and Robotics\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 15th International Conference on Methods and Models in Automation and Robotics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMAR.2010.5587253\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 15th International Conference on Methods and Models in Automation and Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMAR.2010.5587253","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Secondary path model identification in active noise control
In the paper an on-line secondary path model identification problem for feedforward as well as feedback adaptive active noise control systems working with a deterministic constant or random sampling interval is discussed. A focus on almost sure convergence of identified model to true plant in the case of information about secondary path hidden in between single multiplicities of the quant of A/D converter used is given.