{"title":"在有限实验数据下预测一阶动态电路稳态直流响应的专用软件","authors":"Denitsa Darzhanova, I. Balabozov, P. Darjanov","doi":"10.1109/SIELA54794.2022.9845733","DOIUrl":null,"url":null,"abstract":"In the paper the approach, preliminary proposed in [1] to predict the first order dynamic circuit steady state DC response, is additionally extended. It is based on the direct application of the Least Square Method (LSM), by processing of only a short sequence of experimental data obtained at the beginning of the transient exponential process investigation. It has been shown how to complete the experiment at its initial stage with acceptable result. This can reduce significantly both the experimental time and energy resources. The developed software can help the user to manage and stop the experiment. It is based on Scilab software platform, which facilitates the mathematical algorithm already proposed.","PeriodicalId":150282,"journal":{"name":"2022 22nd International Symposium on Electrical Apparatus and Technologies (SIELA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Special Software to Predict the First Order Dynamic Circuit Steady State DC Response within a Limited Set of Experimental Data\",\"authors\":\"Denitsa Darzhanova, I. Balabozov, P. Darjanov\",\"doi\":\"10.1109/SIELA54794.2022.9845733\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper the approach, preliminary proposed in [1] to predict the first order dynamic circuit steady state DC response, is additionally extended. It is based on the direct application of the Least Square Method (LSM), by processing of only a short sequence of experimental data obtained at the beginning of the transient exponential process investigation. It has been shown how to complete the experiment at its initial stage with acceptable result. This can reduce significantly both the experimental time and energy resources. The developed software can help the user to manage and stop the experiment. It is based on Scilab software platform, which facilitates the mathematical algorithm already proposed.\",\"PeriodicalId\":150282,\"journal\":{\"name\":\"2022 22nd International Symposium on Electrical Apparatus and Technologies (SIELA)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 22nd International Symposium on Electrical Apparatus and Technologies (SIELA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIELA54794.2022.9845733\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 22nd International Symposium on Electrical Apparatus and Technologies (SIELA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIELA54794.2022.9845733","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Special Software to Predict the First Order Dynamic Circuit Steady State DC Response within a Limited Set of Experimental Data
In the paper the approach, preliminary proposed in [1] to predict the first order dynamic circuit steady state DC response, is additionally extended. It is based on the direct application of the Least Square Method (LSM), by processing of only a short sequence of experimental data obtained at the beginning of the transient exponential process investigation. It has been shown how to complete the experiment at its initial stage with acceptable result. This can reduce significantly both the experimental time and energy resources. The developed software can help the user to manage and stop the experiment. It is based on Scilab software platform, which facilitates the mathematical algorithm already proposed.