Huang Degang, Wu Jiande, Fan Yugang, W. Xiaodong, Feng Ting
{"title":"基于最小二乘支持向量机的微型无人直升机悬停状态建模","authors":"Huang Degang, Wu Jiande, Fan Yugang, W. Xiaodong, Feng Ting","doi":"10.1109/KAM.2010.5646307","DOIUrl":null,"url":null,"abstract":"Miniature unmanned helicopter (MUH) is controlled member which is very complicated. There are highly nonlinear, close coupled, time-variation, open-loop unstable etc. The paper introduces a method of model building for miniature unmanned helicopter (MUH), based on least square support vector machine. Having been tested with practical flight data, the method of model building manifests well.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modeling of miniature unmanned helicopter for hovering status based on least square support vector machine\",\"authors\":\"Huang Degang, Wu Jiande, Fan Yugang, W. Xiaodong, Feng Ting\",\"doi\":\"10.1109/KAM.2010.5646307\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Miniature unmanned helicopter (MUH) is controlled member which is very complicated. There are highly nonlinear, close coupled, time-variation, open-loop unstable etc. The paper introduces a method of model building for miniature unmanned helicopter (MUH), based on least square support vector machine. Having been tested with practical flight data, the method of model building manifests well.\",\"PeriodicalId\":160788,\"journal\":{\"name\":\"2010 Third International Symposium on Knowledge Acquisition and Modeling\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Third International Symposium on Knowledge Acquisition and Modeling\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KAM.2010.5646307\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Third International Symposium on Knowledge Acquisition and Modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KAM.2010.5646307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling of miniature unmanned helicopter for hovering status based on least square support vector machine
Miniature unmanned helicopter (MUH) is controlled member which is very complicated. There are highly nonlinear, close coupled, time-variation, open-loop unstable etc. The paper introduces a method of model building for miniature unmanned helicopter (MUH), based on least square support vector machine. Having been tested with practical flight data, the method of model building manifests well.