用模糊模型辨识非线性系统

[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI:10.1109/FUZZY.1992.258710

R. Yager, Dimitar Filev

{"title":"用模糊模型辨识非线性系统","authors":"R. Yager, Dimitar Filev","doi":"10.1109/FUZZY.1992.258710","DOIUrl":null,"url":null,"abstract":"The concept of sampled probability distributions is introduced. A new formulation of the unified identification problem of quasi-linear fuzzy models (QLFMs) and quasi-nonlinear fuzzy models (D. Filev, 1990, 1991) that considers simultaneously the structure and parameter identification is proposed. A learning algorithm realizing structure and parameter identification of QLFMs is proposed.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Identification of nonlinear systems by fuzzy models\",\"authors\":\"R. Yager, Dimitar Filev\",\"doi\":\"10.1109/FUZZY.1992.258710\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The concept of sampled probability distributions is introduced. A new formulation of the unified identification problem of quasi-linear fuzzy models (QLFMs) and quasi-nonlinear fuzzy models (D. Filev, 1990, 1991) that considers simultaneously the structure and parameter identification is proposed. A learning algorithm realizing structure and parameter identification of QLFMs is proposed.<<ETX>>\",\"PeriodicalId\":222263,\"journal\":{\"name\":\"[1992 Proceedings] IEEE International Conference on Fuzzy Systems\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992 Proceedings] IEEE International Conference on Fuzzy Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.1992.258710\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.1992.258710","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 11

摘要

引入了抽样概率分布的概念。提出了准线性模糊模型(QLFMs)和准非线性模糊模型(D. Filev, 1990,1991)统一辨识问题的新表述，同时考虑了结构和参数辨识。提出了一种实现qlfm结构和参数辨识的学习算法。

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

Identification of nonlinear systems by fuzzy models

The concept of sampled probability distributions is introduced. A new formulation of the unified identification problem of quasi-linear fuzzy models (QLFMs) and quasi-nonlinear fuzzy models (D. Filev, 1990, 1991) that considers simultaneously the structure and parameter identification is proposed. A learning algorithm realizing structure and parameter identification of QLFMs is proposed.<>

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

[1992 Proceedings] IEEE International Conference on Fuzzy Systems

自引率

0.00%

发文量