{"title":"直接反馈控制的最小寻优神经网络","authors":"P. Peng, Youping Zhang","doi":"10.1109/ISIC.2001.971483","DOIUrl":null,"url":null,"abstract":"This paper presents a faster, robust learning algorithm for a neural network controller design. The learning scheme is regarded as finding the optimal weights via the proposed minimum seeking scheme. The only information required is the system output measurement.","PeriodicalId":367430,"journal":{"name":"Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Minimum seeking neural network for direct feedback control\",\"authors\":\"P. Peng, Youping Zhang\",\"doi\":\"10.1109/ISIC.2001.971483\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a faster, robust learning algorithm for a neural network controller design. The learning scheme is regarded as finding the optimal weights via the proposed minimum seeking scheme. The only information required is the system output measurement.\",\"PeriodicalId\":367430,\"journal\":{\"name\":\"Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206)\",\"volume\":\"146 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIC.2001.971483\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.2001.971483","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Minimum seeking neural network for direct feedback control
This paper presents a faster, robust learning algorithm for a neural network controller design. The learning scheme is regarded as finding the optimal weights via the proposed minimum seeking scheme. The only information required is the system output measurement.