{"title":"利用基本参数集的渐近稳定自适应机器人控制","authors":"A. Bartoszewicz","doi":"10.1109/ISIE.1993.268716","DOIUrl":null,"url":null,"abstract":"The authors introduce a procedure to determine the set of essential parameters of a robot manipulator dynamic model. Then they use the Lyapunov stability theory to construct an adaptive control algorithm based on the model containing only the parameters that belong to the determined set. The proposed control algorithm is computationally efficient and it requires neither inversion of the manipulator inertial matrix nor joint acceleration measurement. Asymptotic stability of the proposed control algorithm is proved.<<ETX>>","PeriodicalId":267349,"journal":{"name":"ISIE '93 - Budapest: IEEE International Symposium on Industrial Electronics Conference Proceedings","volume":"7 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Asymptotically stable adaptive robot control exploiting the essential parameter set\",\"authors\":\"A. Bartoszewicz\",\"doi\":\"10.1109/ISIE.1993.268716\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors introduce a procedure to determine the set of essential parameters of a robot manipulator dynamic model. Then they use the Lyapunov stability theory to construct an adaptive control algorithm based on the model containing only the parameters that belong to the determined set. The proposed control algorithm is computationally efficient and it requires neither inversion of the manipulator inertial matrix nor joint acceleration measurement. Asymptotic stability of the proposed control algorithm is proved.<<ETX>>\",\"PeriodicalId\":267349,\"journal\":{\"name\":\"ISIE '93 - Budapest: IEEE International Symposium on Industrial Electronics Conference Proceedings\",\"volume\":\"7 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISIE '93 - Budapest: IEEE International Symposium on Industrial Electronics Conference Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIE.1993.268716\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISIE '93 - Budapest: IEEE International Symposium on Industrial Electronics Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIE.1993.268716","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Asymptotically stable adaptive robot control exploiting the essential parameter set
The authors introduce a procedure to determine the set of essential parameters of a robot manipulator dynamic model. Then they use the Lyapunov stability theory to construct an adaptive control algorithm based on the model containing only the parameters that belong to the determined set. The proposed control algorithm is computationally efficient and it requires neither inversion of the manipulator inertial matrix nor joint acceleration measurement. Asymptotic stability of the proposed control algorithm is proved.<>