{"title":"一种计算指数拟合的有效方法","authors":"Ivor Dülk, T. Kovácsházy","doi":"10.1109/CARPATHIANCC.2014.6843577","DOIUrl":null,"url":null,"abstract":"In numerous practical applications, the problem of fitting an exponential curve to noisy measurement data often arises for identifying or tracking model parameters. In embedded systems, the computational load and speed of the computation of the fit are crucial to minimize costs and to maximize performance. In this paper, a method is developed for the rapid and effective computation of the three parameter exponential regression model. Computer simulations are also presented and the proposed method is compared with some existing techniques.","PeriodicalId":105920,"journal":{"name":"Proceedings of the 2014 15th International Carpathian Control Conference (ICCC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A computationally effective method for calculating the exponential fit\",\"authors\":\"Ivor Dülk, T. Kovácsházy\",\"doi\":\"10.1109/CARPATHIANCC.2014.6843577\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In numerous practical applications, the problem of fitting an exponential curve to noisy measurement data often arises for identifying or tracking model parameters. In embedded systems, the computational load and speed of the computation of the fit are crucial to minimize costs and to maximize performance. In this paper, a method is developed for the rapid and effective computation of the three parameter exponential regression model. Computer simulations are also presented and the proposed method is compared with some existing techniques.\",\"PeriodicalId\":105920,\"journal\":{\"name\":\"Proceedings of the 2014 15th International Carpathian Control Conference (ICCC)\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2014 15th International Carpathian Control Conference (ICCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CARPATHIANCC.2014.6843577\",\"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 the 2014 15th International Carpathian Control Conference (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CARPATHIANCC.2014.6843577","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A computationally effective method for calculating the exponential fit
In numerous practical applications, the problem of fitting an exponential curve to noisy measurement data often arises for identifying or tracking model parameters. In embedded systems, the computational load and speed of the computation of the fit are crucial to minimize costs and to maximize performance. In this paper, a method is developed for the rapid and effective computation of the three parameter exponential regression model. Computer simulations are also presented and the proposed method is compared with some existing techniques.