A parameterized Petri net model for the organization level of intelligent robotic systems

Denis Gracanin, K. Valavanis, P. Srinivasan
{"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}
引用次数: 0

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.<>
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
智能机器人系统组织层次的参数化Petri网模型
参数化Petri网(ppn)的基本原理已在Gracanin, Srinivasan和Valavanis(1994)中定义,用于推导智能机器人系统(IRS)的组织级模型和算法。所有组织函数都是通过ppn解释的。将基于PPN的模型和算法与Valavanis和Carelo(1990)以及Valavanis(1992)之前推导的模型和算法进行比较,可以证明PPN作为建模工具的能力,以及PPN在“参数”值方面适应额外系统功能的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Parallelization of long-range predictive control methods Adjustable solutions of doubly coprime matrix fraction descriptions Computer-aided decoupling controller design A knowledge-based system for control system design using MEDAL Applying on-line computer-aided control system design to the manufacturing industry enhances control performance
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1