{"title":"使用ARX模型的生产系统识别方法","authors":"Sofia Rachad, Hicham Fouraiji, B. Bensassi","doi":"10.1109/GOL.2014.6887422","DOIUrl":null,"url":null,"abstract":"In this paper, we present a new method for modeling production systems with discrete flows. This method is based on automatic knowledge to construct a mathematical model that accurately formalizes the behavior of the production system studied, from only (inputs / outputs) observable data, using the model parametric ARX.","PeriodicalId":265851,"journal":{"name":"2014 International Conference on Logistics Operations Management","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Identification approach for a production system using ARX model\",\"authors\":\"Sofia Rachad, Hicham Fouraiji, B. Bensassi\",\"doi\":\"10.1109/GOL.2014.6887422\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a new method for modeling production systems with discrete flows. This method is based on automatic knowledge to construct a mathematical model that accurately formalizes the behavior of the production system studied, from only (inputs / outputs) observable data, using the model parametric ARX.\",\"PeriodicalId\":265851,\"journal\":{\"name\":\"2014 International Conference on Logistics Operations Management\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Logistics Operations Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GOL.2014.6887422\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Logistics Operations Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GOL.2014.6887422","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identification approach for a production system using ARX model
In this paper, we present a new method for modeling production systems with discrete flows. This method is based on automatic knowledge to construct a mathematical model that accurately formalizes the behavior of the production system studied, from only (inputs / outputs) observable data, using the model parametric ARX.
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