{"title":"基于层次遗传算法的遥控控制器设计","authors":"K. Tang, K. Man, R. Istepanian","doi":"10.1109/ICIT.2000.854256","DOIUrl":null,"url":null,"abstract":"Hierarchical genetic algorithm (HGA) is formulated to design the H/sub /spl infin// controller for the teleoperation system used in microsurgery. Such a HGA is capable of searching the structure of the H/sub /spl infin// and its coefficients simultaneously. A multiple objective ranking scheme is also incorporated so that both the force and position transparency are optimized against any strictly passive environment.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Teleoperation controller design using hierarchical genetic algorithm\",\"authors\":\"K. Tang, K. Man, R. Istepanian\",\"doi\":\"10.1109/ICIT.2000.854256\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hierarchical genetic algorithm (HGA) is formulated to design the H/sub /spl infin// controller for the teleoperation system used in microsurgery. Such a HGA is capable of searching the structure of the H/sub /spl infin// and its coefficients simultaneously. A multiple objective ranking scheme is also incorporated so that both the force and position transparency are optimized against any strictly passive environment.\",\"PeriodicalId\":405648,\"journal\":{\"name\":\"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-01-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIT.2000.854256\",\"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 of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2000.854256","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Teleoperation controller design using hierarchical genetic algorithm
Hierarchical genetic algorithm (HGA) is formulated to design the H/sub /spl infin// controller for the teleoperation system used in microsurgery. Such a HGA is capable of searching the structure of the H/sub /spl infin// and its coefficients simultaneously. A multiple objective ranking scheme is also incorporated so that both the force and position transparency are optimized against any strictly passive environment.