{"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}
引用次数: 0
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.
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