{"title":"机械臂智能控制:基于多模型的方法","authors":"M. K. Ciliz, K. Narendra","doi":"10.1109/IROS.1995.526251","DOIUrl":null,"url":null,"abstract":"The paper presents a novel methodology for the trajectory tracking control of robotic manipulators. The proposed method utilizes multiple models of the manipulator for the identification of its dynamics in an adaptive control frame work. Simulations and experimental test results are also included to demonstrate the improvement in the tracking performance when the proposed methodology is used for different tracking tasks.","PeriodicalId":124483,"journal":{"name":"Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Intelligent control of robotic manipulators: a multiple model based approach\",\"authors\":\"M. K. Ciliz, K. Narendra\",\"doi\":\"10.1109/IROS.1995.526251\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a novel methodology for the trajectory tracking control of robotic manipulators. The proposed method utilizes multiple models of the manipulator for the identification of its dynamics in an adaptive control frame work. Simulations and experimental test results are also included to demonstrate the improvement in the tracking performance when the proposed methodology is used for different tracking tasks.\",\"PeriodicalId\":124483,\"journal\":{\"name\":\"Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IROS.1995.526251\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IROS.1995.526251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent control of robotic manipulators: a multiple model based approach
The paper presents a novel methodology for the trajectory tracking control of robotic manipulators. The proposed method utilizes multiple models of the manipulator for the identification of its dynamics in an adaptive control frame work. Simulations and experimental test results are also included to demonstrate the improvement in the tracking performance when the proposed methodology is used for different tracking tasks.