{"title":"机器人机械手的智能可重构控制","authors":"J. Chung, S. Velinsky","doi":"10.1109/IJCNN.1999.832690","DOIUrl":null,"url":null,"abstract":"One approach towards improving the reliability of high-performance robotic systems is to allow for the automatic reconfiguration of the robot's control system to accommodate actuator failure and/or damage. The new concept of the extended plant and its identification in closed loop is introduced for developing a reconfigurable robot manipulator controller. It is made possible through the use of artificial neural networks. A simulation study demonstrates the effectiveness of the developed control algorithm.","PeriodicalId":157719,"journal":{"name":"IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Intelligent reconfigurable control of robot manipulators\",\"authors\":\"J. Chung, S. Velinsky\",\"doi\":\"10.1109/IJCNN.1999.832690\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One approach towards improving the reliability of high-performance robotic systems is to allow for the automatic reconfiguration of the robot's control system to accommodate actuator failure and/or damage. The new concept of the extended plant and its identification in closed loop is introduced for developing a reconfigurable robot manipulator controller. It is made possible through the use of artificial neural networks. A simulation study demonstrates the effectiveness of the developed control algorithm.\",\"PeriodicalId\":157719,\"journal\":{\"name\":\"IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)\",\"volume\":\"125 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IJCNN.1999.832690\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IJCNN.1999.832690","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent reconfigurable control of robot manipulators
One approach towards improving the reliability of high-performance robotic systems is to allow for the automatic reconfiguration of the robot's control system to accommodate actuator failure and/or damage. The new concept of the extended plant and its identification in closed loop is introduced for developing a reconfigurable robot manipulator controller. It is made possible through the use of artificial neural networks. A simulation study demonstrates the effectiveness of the developed control algorithm.