{"title":"具有位置和速度感应的机器人运动控制的离散学习算法","authors":"S. Tso, Y. X. Ma","doi":"10.1109/IROS.1991.174549","DOIUrl":null,"url":null,"abstract":"With a view to improving the quality of learning and simplifying the iterative learning controller implementation, a new discrete strategy for robot motion control is proposed. A systematic means is devised to merge the position and velocity data in consecutive cycles for effective learning control. The convergence property is also established.<<ETX>>","PeriodicalId":388962,"journal":{"name":"Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A discrete learning algorithm for robot motion control with both position and velocity sensing\",\"authors\":\"S. Tso, Y. X. Ma\",\"doi\":\"10.1109/IROS.1991.174549\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With a view to improving the quality of learning and simplifying the iterative learning controller implementation, a new discrete strategy for robot motion control is proposed. A systematic means is devised to merge the position and velocity data in consecutive cycles for effective learning control. The convergence property is also established.<<ETX>>\",\"PeriodicalId\":388962,\"journal\":{\"name\":\"Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IROS.1991.174549\",\"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 IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IROS.1991.174549","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A discrete learning algorithm for robot motion control with both position and velocity sensing
With a view to improving the quality of learning and simplifying the iterative learning controller implementation, a new discrete strategy for robot motion control is proposed. A systematic means is devised to merge the position and velocity data in consecutive cycles for effective learning control. The convergence property is also established.<>