{"title":"Modeling accuracy of technical systems using of differential transformation method","authors":"E. Golovin, O.V. Stoukatch","doi":"10.1109/SPCMTT.2000.896046","DOIUrl":null,"url":null,"abstract":"It is well-known, the task of modeling a nonlinear system consists of searching an operator which transforms a class of source effect in the target class. Having a series of test signals and their responses, it is possible to try to restore the transforming operator, but in general cases, for each action, they appeared different. It is difficult because of the low exactitude of the approximating operator and the inconvenience of its form for further handling.","PeriodicalId":421846,"journal":{"name":"Proceedings of the 6th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists. Modern Techniques and Technology. MTT'2000 (Cat. No.00EX369)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Scientific and Practical Conference of Students, Post-graduates and Young Scientists. Modern Techniques and Technology. MTT'2000 (Cat. No.00EX369)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPCMTT.2000.896046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

It is well-known, the task of modeling a nonlinear system consists of searching an operator which transforms a class of source effect in the target class. Having a series of test signals and their responses, it is possible to try to restore the transforming operator, but in general cases, for each action, they appeared different. It is difficult because of the low exactitude of the approximating operator and the inconvenience of its form for further handling.
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技术系统的微分变换建模精度
众所周知,非线性系统建模的任务是寻找一个算子,将一类源效应转化为目标类。有了一系列的测试信号和它们的响应,可以尝试恢复变换算子,但在一般情况下,对于每个动作,它们看起来都是不同的。由于逼近算子精度低,且其形式不方便,难以进一步处理。
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