{"title":"基于矩阵的定时离散事件系统监控方法","authors":"F. Basile, P. Chiacchio, J. Coppola","doi":"10.1109/ICNSC.2017.8000069","DOIUrl":null,"url":null,"abstract":"This paper presents a matrix-based discrete event model to simulate, design and implement a model-based control algorithm, including model predictive control. The proposed formalism extends a previous one adding timing information. This feature allows the evaluation of performance indexes making the model useful in many industrial automation systems in presence of real time control specifications.","PeriodicalId":145129,"journal":{"name":"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A matrix-based approach for supervising and controlling timed Discrete Event System\",\"authors\":\"F. Basile, P. Chiacchio, J. Coppola\",\"doi\":\"10.1109/ICNSC.2017.8000069\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a matrix-based discrete event model to simulate, design and implement a model-based control algorithm, including model predictive control. The proposed formalism extends a previous one adding timing information. This feature allows the evaluation of performance indexes making the model useful in many industrial automation systems in presence of real time control specifications.\",\"PeriodicalId\":145129,\"journal\":{\"name\":\"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNSC.2017.8000069\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNSC.2017.8000069","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A matrix-based approach for supervising and controlling timed Discrete Event System
This paper presents a matrix-based discrete event model to simulate, design and implement a model-based control algorithm, including model predictive control. The proposed formalism extends a previous one adding timing information. This feature allows the evaluation of performance indexes making the model useful in many industrial automation systems in presence of real time control specifications.