稀疏Volterra系统的辨识：一种几乎正交匹配寻踪方法

IF 6.2 1区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

IEEE Transactions on Automatic Control Pub Date : 2021-03-31 DOI:10.1109/TAC.2021.3070027

Changming Cheng;Er-Wei Bai;Zhike Peng

{"title":"稀疏Volterra系统的辨识：一种几乎正交匹配寻踪方法","authors":"Changming Cheng;Er-Wei Bai;Zhike Peng","doi":"10.1109/TAC.2021.3070027","DOIUrl":null,"url":null,"abstract":"This article considers identification of sparse Volterra systems. A method based on the almost orthogonal matching pursuit (AOMP) is proposed. The AOMP algorithm allows one to estimate one nonzero coefficient at a time until all nonzero coefficients are found without losing the optimality and the sparsity, thus avoiding the curse of dimensionality often encountered in Volterra system identification.","PeriodicalId":13201,"journal":{"name":"IEEE Transactions on Automatic Control","volume":"67 4","pages":"2027-2032"},"PeriodicalIF":6.2000,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/TAC.2021.3070027","citationCount":"2","resultStr":"{\"title\":\"Identification of Sparse Volterra Systems: An Almost Orthogonal Matching Pursuit Approach\",\"authors\":\"Changming Cheng;Er-Wei Bai;Zhike Peng\",\"doi\":\"10.1109/TAC.2021.3070027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article considers identification of sparse Volterra systems. A method based on the almost orthogonal matching pursuit (AOMP) is proposed. The AOMP algorithm allows one to estimate one nonzero coefficient at a time until all nonzero coefficients are found without losing the optimality and the sparsity, thus avoiding the curse of dimensionality often encountered in Volterra system identification.\",\"PeriodicalId\":13201,\"journal\":{\"name\":\"IEEE Transactions on Automatic Control\",\"volume\":\"67 4\",\"pages\":\"2027-2032\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2021-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1109/TAC.2021.3070027\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Automatic Control\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/9392313/\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Automatic Control","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/9392313/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}

引用次数: 2

摘要

本文研究稀疏Volterra系统的辨识问题。提出了一种基于近似正交匹配追踪的方法。AOMP算法允许一次估计一个非零系数，直到找到所有非零系数为止，而不会失去最优性和稀疏性，从而避免了Volterra系统识别中经常遇到的维数诅咒。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Identification of Sparse Volterra Systems: An Almost Orthogonal Matching Pursuit Approach

查看原文本刊更多论文

Identification of Sparse Volterra Systems: An Almost Orthogonal Matching Pursuit Approach

This article considers identification of sparse Volterra systems. A method based on the almost orthogonal matching pursuit (AOMP) is proposed. The AOMP algorithm allows one to estimate one nonzero coefficient at a time until all nonzero coefficients are found without losing the optimality and the sparsity, thus avoiding the curse of dimensionality often encountered in Volterra system identification.

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

IEEE Transactions on Automatic Control 工程技术-工程：电子与电气

CiteScore

11.30

自引率

5.90%

发文量

824

审稿时长

9 months

期刊介绍： In the IEEE Transactions on Automatic Control, the IEEE Control Systems Society publishes high-quality papers on the theory, design, and applications of control engineering. Two types of contributions are regularly considered: 1) Papers: Presentation of significant research, development, or application of control concepts. 2) Technical Notes and Correspondence: Brief technical notes, comments on published areas or established control topics, corrections to papers and notes published in the Transactions. In addition, special papers (tutorials, surveys, and perspectives on the theory and applications of control systems topics) are solicited.