{"title":"Hybrid, quantitative and qualitative process simulation by the generic bi-layered net model","authors":"B. Csukás, G. Bánkuti","doi":"10.1109/ISP.2003.1275853","DOIUrl":null,"url":null,"abstract":"The idea of the direct computer mapping (DCM) of process models, and the recently developed generic, bilayered net (GBN) model have been introduced. The method gives a common framework for the simulation of the hybrid (discrete & continuous, quantitative & qualitative) conservation and information processes. The GBN/DCM framework makes possible a new interpretation of the information processes, as well as the development of model based parallel SW/HW architectures. The application of the simulation method for intelligent signal processing is illustrated by the example of the model based diagnostics and control of a simulated moving bed unit. This method is based on the use of the simplest process model of the weakly isomorphic network structure, which learns from the detailed simulation trials, continuously.","PeriodicalId":285893,"journal":{"name":"IEEE International Symposium on Intelligent Signal Processing, 2003","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Symposium on Intelligent Signal Processing, 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISP.2003.1275853","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The idea of the direct computer mapping (DCM) of process models, and the recently developed generic, bilayered net (GBN) model have been introduced. The method gives a common framework for the simulation of the hybrid (discrete & continuous, quantitative & qualitative) conservation and information processes. The GBN/DCM framework makes possible a new interpretation of the information processes, as well as the development of model based parallel SW/HW architectures. The application of the simulation method for intelligent signal processing is illustrated by the example of the model based diagnostics and control of a simulated moving bed unit. This method is based on the use of the simplest process model of the weakly isomorphic network structure, which learns from the detailed simulation trials, continuously.