{"title":"General predictor in the algebra of dioids","authors":"P. Declerck, R. Guihur","doi":"10.1109/ETFA.1999.813107","DOIUrl":null,"url":null,"abstract":"Discrete event systems undergo perturbations that disrupt the control system and reduce the capacities of anticipation of the future evolution of the process. In the (max, +) algebra, processes modelled by a timed event graph may be represented by a linear model. The knowledge of the model and of the initial conditions enable us to characterise the state vector with a state equation iteration but the perturbations can generate a misappreciation of the state vector. The aim of the paper is to predict the output trajectory and to make temporal control synthesis when the state vector is unknown.","PeriodicalId":119106,"journal":{"name":"1999 7th IEEE International Conference on Emerging Technologies and Factory Automation. Proceedings ETFA '99 (Cat. No.99TH8467)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 7th IEEE International Conference on Emerging Technologies and Factory Automation. Proceedings ETFA '99 (Cat. No.99TH8467)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.1999.813107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Discrete event systems undergo perturbations that disrupt the control system and reduce the capacities of anticipation of the future evolution of the process. In the (max, +) algebra, processes modelled by a timed event graph may be represented by a linear model. The knowledge of the model and of the initial conditions enable us to characterise the state vector with a state equation iteration but the perturbations can generate a misappreciation of the state vector. The aim of the paper is to predict the output trajectory and to make temporal control synthesis when the state vector is unknown.
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二元代数中的一般预测器
离散事件系统受到扰动,破坏控制系统,降低对过程未来演变的预测能力。在(max, +)代数中,由时间事件图建模的过程可以用线性模型表示。对模型和初始条件的了解使我们能够用状态方程迭代来表征状态向量,但扰动会产生对状态向量的误读。本文的目的是在状态向量未知的情况下预测输出轨迹并进行时间控制综合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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