{"title":"一种模糊自整定控制器设计","authors":"Wen-Shyong Yu, Jen-Wei Chiang","doi":"10.1109/AFSS.1996.583591","DOIUrl":null,"url":null,"abstract":"We propose a new design method to overcome the singularity problem in a self-tuning control system when using the pole placement technique. This method uses the fuzzy gradient least squares estimation to identify the coefficients of the plant and guarantee the controllability of the estimated plant model. From the simulation results, it is seen that the proposed method can have satisfactory results.","PeriodicalId":197019,"journal":{"name":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A fuzzy self-tuning controller design\",\"authors\":\"Wen-Shyong Yu, Jen-Wei Chiang\",\"doi\":\"10.1109/AFSS.1996.583591\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a new design method to overcome the singularity problem in a self-tuning control system when using the pole placement technique. This method uses the fuzzy gradient least squares estimation to identify the coefficients of the plant and guarantee the controllability of the estimated plant model. From the simulation results, it is seen that the proposed method can have satisfactory results.\",\"PeriodicalId\":197019,\"journal\":{\"name\":\"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AFSS.1996.583591\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AFSS.1996.583591","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We propose a new design method to overcome the singularity problem in a self-tuning control system when using the pole placement technique. This method uses the fuzzy gradient least squares estimation to identify the coefficients of the plant and guarantee the controllability of the estimated plant model. From the simulation results, it is seen that the proposed method can have satisfactory results.
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