{"title":"智能机器人系统组织层次的参数化Petri网模型","authors":"Denis Gracanin, K. Valavanis, P. Srinivasan","doi":"10.1109/CACSD.1994.288951","DOIUrl":null,"url":null,"abstract":"Parameterized Petri nets (PPNs), the fundamentals of which have been defined in Gracanin, Srinivasan, and Valavanis (1994), are utilized to derive the organization level model and algorithm of an intelligent robotic system (IRS). All organizer functions are interpreted via PPNs. Comparison of the PPN based model and algorithm with the ones previously derived Valavanis and Carelo (1990) and Valavanis (1992) demonstrates the PPN power as a modeling tool, as well as the PPN ability to accommodate additional system functions in terms of \"parameter\" values.<<ETX>>","PeriodicalId":197997,"journal":{"name":"Proceedings of IEEE Symposium on Computer-Aided Control Systems Design (CACSD)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A parameterized Petri net model for the organization level of intelligent robotic systems\",\"authors\":\"Denis Gracanin, K. Valavanis, P. Srinivasan\",\"doi\":\"10.1109/CACSD.1994.288951\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Parameterized Petri nets (PPNs), the fundamentals of which have been defined in Gracanin, Srinivasan, and Valavanis (1994), are utilized to derive the organization level model and algorithm of an intelligent robotic system (IRS). All organizer functions are interpreted via PPNs. Comparison of the PPN based model and algorithm with the ones previously derived Valavanis and Carelo (1990) and Valavanis (1992) demonstrates the PPN power as a modeling tool, as well as the PPN ability to accommodate additional system functions in terms of \\\"parameter\\\" values.<<ETX>>\",\"PeriodicalId\":197997,\"journal\":{\"name\":\"Proceedings of IEEE Symposium on Computer-Aided Control Systems Design (CACSD)\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE Symposium on Computer-Aided Control Systems Design (CACSD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CACSD.1994.288951\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE Symposium on Computer-Aided Control Systems Design (CACSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CACSD.1994.288951","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A parameterized Petri net model for the organization level of intelligent robotic systems
Parameterized Petri nets (PPNs), the fundamentals of which have been defined in Gracanin, Srinivasan, and Valavanis (1994), are utilized to derive the organization level model and algorithm of an intelligent robotic system (IRS). All organizer functions are interpreted via PPNs. Comparison of the PPN based model and algorithm with the ones previously derived Valavanis and Carelo (1990) and Valavanis (1992) demonstrates the PPN power as a modeling tool, as well as the PPN ability to accommodate additional system functions in terms of "parameter" values.<>
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