{"title":"带预测调整的MPC复杂轨迹跟踪","authors":"M. Charest, R. Dubay, Scott Everett","doi":"10.1109/ROBIO.2013.6739787","DOIUrl":null,"url":null,"abstract":"A prediction adjustment parameter η for model predictive control algorithms to enhance complex trajectory tracking is introduced. The η methodology is tested in simulation and on an experimental setup using DMC and GPC algorithms.","PeriodicalId":434960,"journal":{"name":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Complex trajectory tracking using MPC with prediction adjustment\",\"authors\":\"M. Charest, R. Dubay, Scott Everett\",\"doi\":\"10.1109/ROBIO.2013.6739787\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A prediction adjustment parameter η for model predictive control algorithms to enhance complex trajectory tracking is introduced. The η methodology is tested in simulation and on an experimental setup using DMC and GPC algorithms.\",\"PeriodicalId\":434960,\"journal\":{\"name\":\"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBIO.2013.6739787\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO.2013.6739787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Complex trajectory tracking using MPC with prediction adjustment
A prediction adjustment parameter η for model predictive control algorithms to enhance complex trajectory tracking is introduced. The η methodology is tested in simulation and on an experimental setup using DMC and GPC algorithms.
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