动态变量自适应算法

SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603) Pub Date : 2001-07-25 DOI:10.1109/SICE.2001.977804

J. Morimoto, H. Kasamatsu, Y. Yamamoto, I. Kobayashi, N. Furumoto, T. Tabuchi

{"title":"动态变量自适应算法","authors":"J. Morimoto, H. Kasamatsu, Y. Yamamoto, I. Kobayashi, N. Furumoto, T. Tabuchi","doi":"10.1109/SICE.2001.977804","DOIUrl":null,"url":null,"abstract":"Variations of the statistical properties of system inputs may cause a fall of adaptation abilities of the adaptive algorithms. To overcome this problem, we propose a dynamically-changing method of the form of the adaptive algorithms among Kalman filter based, normalized least mean square and recursive least squares methods. The validity of our method was confirmed in the numerical experiments.","PeriodicalId":415046,"journal":{"name":"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)","volume":"199 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamically-variable adaptive algorithms\",\"authors\":\"J. Morimoto, H. Kasamatsu, Y. Yamamoto, I. Kobayashi, N. Furumoto, T. Tabuchi\",\"doi\":\"10.1109/SICE.2001.977804\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Variations of the statistical properties of system inputs may cause a fall of adaptation abilities of the adaptive algorithms. To overcome this problem, we propose a dynamically-changing method of the form of the adaptive algorithms among Kalman filter based, normalized least mean square and recursive least squares methods. The validity of our method was confirmed in the numerical experiments.\",\"PeriodicalId\":415046,\"journal\":{\"name\":\"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)\",\"volume\":\"199 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SICE.2001.977804\",\"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 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SICE.2001.977804","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

系统输入统计特性的变化会导致自适应算法的自适应能力下降。为了克服这一问题，我们提出了一种动态变化形式的自适应算法，结合基于卡尔曼滤波、归一化最小均方和递归最小二乘法的自适应算法。数值实验验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Dynamically-variable adaptive algorithms

Variations of the statistical properties of system inputs may cause a fall of adaptation abilities of the adaptive algorithms. To overcome this problem, we propose a dynamically-changing method of the form of the adaptive algorithms among Kalman filter based, normalized least mean square and recursive least squares methods. The validity of our method was confirmed in the numerical experiments.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)

自引率

0.00%

发文量