{"title":"快速自适应控制算法研究","authors":"X. Gang, J.L. Arevena","doi":"10.1109/SSST.1988.17110","DOIUrl":null,"url":null,"abstract":"The authors study one alternative for improving the computational efficiency of control algorithms. The case considered is a self-tuning control strategy. Attention is focused on the parameter estimation stage. The strategy used is that of simplifying computations in the estimation algorithms. The reduction in computational delay is expected to offset a possible loss in performance due to suboptimal estimates. Several variations of the recursive-least-square algorithm are considered.<<ETX>>","PeriodicalId":345412,"journal":{"name":"[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory","volume":"113 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On fast algorithms for adaptive control\",\"authors\":\"X. Gang, J.L. Arevena\",\"doi\":\"10.1109/SSST.1988.17110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors study one alternative for improving the computational efficiency of control algorithms. The case considered is a self-tuning control strategy. Attention is focused on the parameter estimation stage. The strategy used is that of simplifying computations in the estimation algorithms. The reduction in computational delay is expected to offset a possible loss in performance due to suboptimal estimates. Several variations of the recursive-least-square algorithm are considered.<<ETX>>\",\"PeriodicalId\":345412,\"journal\":{\"name\":\"[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory\",\"volume\":\"113 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSST.1988.17110\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSST.1988.17110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The authors study one alternative for improving the computational efficiency of control algorithms. The case considered is a self-tuning control strategy. Attention is focused on the parameter estimation stage. The strategy used is that of simplifying computations in the estimation algorithms. The reduction in computational delay is expected to offset a possible loss in performance due to suboptimal estimates. Several variations of the recursive-least-square algorithm are considered.<>