{"title":"DXHS 算法相当于正弦信号的被动内部模型","authors":"Toru Asai, Xinran Chen, Ryo Ariizumi, Shunichi Azuma","doi":"10.1080/18824889.2023.2281018","DOIUrl":null,"url":null,"abstract":"The DXHS algorithm was proposed as an active noise control method and is often referred to as an adaptive method. This paper shows that the DXHS algorithm is a dynamical system that is equivalent to a passive internal model for sinusoidal signals. It follows that the disturbance attenuation ability is a consequence of the internal model principle, although the DXHS algorithm is proposed based on the standard way of thinking for adaptive methods. Moreover, the closed-loop system stability is guaranteed for strictly passive secondary paths.","PeriodicalId":413922,"journal":{"name":"SICE journal of control, measurement, and system integration","volume":"17 1","pages":"382 - 386"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The DXHS algorithm is equivalent to a passive internal model for sinusoidal signals\",\"authors\":\"Toru Asai, Xinran Chen, Ryo Ariizumi, Shunichi Azuma\",\"doi\":\"10.1080/18824889.2023.2281018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The DXHS algorithm was proposed as an active noise control method and is often referred to as an adaptive method. This paper shows that the DXHS algorithm is a dynamical system that is equivalent to a passive internal model for sinusoidal signals. It follows that the disturbance attenuation ability is a consequence of the internal model principle, although the DXHS algorithm is proposed based on the standard way of thinking for adaptive methods. Moreover, the closed-loop system stability is guaranteed for strictly passive secondary paths.\",\"PeriodicalId\":413922,\"journal\":{\"name\":\"SICE journal of control, measurement, and system integration\",\"volume\":\"17 1\",\"pages\":\"382 - 386\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SICE journal of control, measurement, and system integration\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/18824889.2023.2281018\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SICE journal of control, measurement, and system integration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/18824889.2023.2281018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The DXHS algorithm is equivalent to a passive internal model for sinusoidal signals
The DXHS algorithm was proposed as an active noise control method and is often referred to as an adaptive method. This paper shows that the DXHS algorithm is a dynamical system that is equivalent to a passive internal model for sinusoidal signals. It follows that the disturbance attenuation ability is a consequence of the internal model principle, although the DXHS algorithm is proposed based on the standard way of thinking for adaptive methods. Moreover, the closed-loop system stability is guaranteed for strictly passive secondary paths.