{"title":"一种基于模型预测控制的非定时pn轨迹跟踪算法","authors":"D. Lefebvre, E. Leclercq","doi":"10.1109/MED.2014.6961378","DOIUrl":null,"url":null,"abstract":"This paper is about trajectory tracking for DESs. The main contribution is to compute incrementally control sequences approaching the minimal length sequences. The method is based on a partial exploration of the PN reachability graph and inspired from the MPC approach. The method is suitable for bounded and unbounded PNs. It also works for PNs with weighted arcs and for PNs with some uncontrollable transitions.","PeriodicalId":127957,"journal":{"name":"22nd Mediterranean Conference on Control and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An algorithm based on model predictive control for trajectories tracking with untimed PNs\",\"authors\":\"D. Lefebvre, E. Leclercq\",\"doi\":\"10.1109/MED.2014.6961378\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is about trajectory tracking for DESs. The main contribution is to compute incrementally control sequences approaching the minimal length sequences. The method is based on a partial exploration of the PN reachability graph and inspired from the MPC approach. The method is suitable for bounded and unbounded PNs. It also works for PNs with weighted arcs and for PNs with some uncontrollable transitions.\",\"PeriodicalId\":127957,\"journal\":{\"name\":\"22nd Mediterranean Conference on Control and Automation\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"22nd Mediterranean Conference on Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MED.2014.6961378\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"22nd Mediterranean Conference on Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED.2014.6961378","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An algorithm based on model predictive control for trajectories tracking with untimed PNs
This paper is about trajectory tracking for DESs. The main contribution is to compute incrementally control sequences approaching the minimal length sequences. The method is based on a partial exploration of the PN reachability graph and inspired from the MPC approach. The method is suitable for bounded and unbounded PNs. It also works for PNs with weighted arcs and for PNs with some uncontrollable transitions.
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