{"title":"基于偏序关系的连续和混合系统建模","authors":"N. Rakoto-Ravalontsalama","doi":"10.1109/ISIC.2001.971501","DOIUrl":null,"url":null,"abstract":"The states of a continuous system are approximated by discrete variables. The behavior of the system is then modeled by a finite state automaton. An order relationship over the set of states allows: 1) to define another order relation between the states of a composed automaton; 2) to reduce the number of transitions of the composed automaton; and 3) to write a simple reachability algorithm for finding a goal state.","PeriodicalId":367430,"journal":{"name":"Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modeling of continuous and hybrid systems using partial order relations\",\"authors\":\"N. Rakoto-Ravalontsalama\",\"doi\":\"10.1109/ISIC.2001.971501\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The states of a continuous system are approximated by discrete variables. The behavior of the system is then modeled by a finite state automaton. An order relationship over the set of states allows: 1) to define another order relation between the states of a composed automaton; 2) to reduce the number of transitions of the composed automaton; and 3) to write a simple reachability algorithm for finding a goal state.\",\"PeriodicalId\":367430,\"journal\":{\"name\":\"Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIC.2001.971501\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.2001.971501","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling of continuous and hybrid systems using partial order relations
The states of a continuous system are approximated by discrete variables. The behavior of the system is then modeled by a finite state automaton. An order relationship over the set of states allows: 1) to define another order relation between the states of a composed automaton; 2) to reduce the number of transitions of the composed automaton; and 3) to write a simple reachability algorithm for finding a goal state.