{"title":"复杂混合系统的模块化表示:在批量过程模拟中的应用","authors":"Luc Thevenon, Jean-Marie Flaus","doi":"10.1016/S0928-4869(00)00020-3","DOIUrl":null,"url":null,"abstract":"<div><p>A modelling approach of complex systems is presented. The goal is to define a modular and non-causal representation able to describe hybrid dynamics, and to generate automatically the models corresponding to the different configurations of the real system. These models can then be used to simulate process evolution. In this paper, we define the structure of the basic model blocks and the interactions of these blocks through different kinds of signals.</p></div>","PeriodicalId":101162,"journal":{"name":"Simulation Practice and Theory","volume":"8 5","pages":"Pages 283-306"},"PeriodicalIF":0.0000,"publicationDate":"2000-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0928-4869(00)00020-3","citationCount":"26","resultStr":"{\"title\":\"Modular representation of complex hybrid systems: application to the simulation of batch processes\",\"authors\":\"Luc Thevenon, Jean-Marie Flaus\",\"doi\":\"10.1016/S0928-4869(00)00020-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A modelling approach of complex systems is presented. The goal is to define a modular and non-causal representation able to describe hybrid dynamics, and to generate automatically the models corresponding to the different configurations of the real system. These models can then be used to simulate process evolution. In this paper, we define the structure of the basic model blocks and the interactions of these blocks through different kinds of signals.</p></div>\",\"PeriodicalId\":101162,\"journal\":{\"name\":\"Simulation Practice and Theory\",\"volume\":\"8 5\",\"pages\":\"Pages 283-306\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/S0928-4869(00)00020-3\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Simulation Practice and Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0928486900000203\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Simulation Practice and Theory","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0928486900000203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modular representation of complex hybrid systems: application to the simulation of batch processes
A modelling approach of complex systems is presented. The goal is to define a modular and non-causal representation able to describe hybrid dynamics, and to generate automatically the models corresponding to the different configurations of the real system. These models can then be used to simulate process evolution. In this paper, we define the structure of the basic model blocks and the interactions of these blocks through different kinds of signals.