Recovery Methods of Unmeasured Variables for Biological Models

Olga Tkacheva, M. Vinogradova, A. Utkin
{"title":"Recovery Methods of Unmeasured Variables for Biological Models","authors":"Olga Tkacheva, M. Vinogradova, A. Utkin","doi":"10.1109/mlsd52249.2021.9600246","DOIUrl":null,"url":null,"abstract":"The paper presents modeling the SA-node operation. This research aims at comparing two different methods for constructing an observer according to some characteristics of numerical simulation for the pacemaker model: a nonlinear observer with linear error dynamics and a lower-order observer with nonlinear corrections. We compare two different observers using qualitative characteristics. The results show that the nonlinear observer with small tuning parameters converges more slowly than a lower-order observer. The nonlinear observer has the best accuracy with small tuning parameters. In the case of real-time monitoring, it is more optimal to use the nonlinear observer with linear error dynamics because it does not require a small integration step. The results can be appliyed to the further simulition of biological systems.","PeriodicalId":428017,"journal":{"name":"2021 14th International Conference Management of large-scale system development (MLSD)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 14th International Conference Management of large-scale system development (MLSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/mlsd52249.2021.9600246","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

The paper presents modeling the SA-node operation. This research aims at comparing two different methods for constructing an observer according to some characteristics of numerical simulation for the pacemaker model: a nonlinear observer with linear error dynamics and a lower-order observer with nonlinear corrections. We compare two different observers using qualitative characteristics. The results show that the nonlinear observer with small tuning parameters converges more slowly than a lower-order observer. The nonlinear observer has the best accuracy with small tuning parameters. In the case of real-time monitoring, it is more optimal to use the nonlinear observer with linear error dynamics because it does not require a small integration step. The results can be appliyed to the further simulition of biological systems.
生物模型中未测量变量的恢复方法
本文给出了sa节点操作的建模方法。针对起搏器模型数值仿真的特点,比较了两种不同的观测器构造方法:具有线性误差动力学的非线性观测器和具有非线性修正的低阶观测器。我们用定性特征比较两个不同的观察者。结果表明,具有小调谐参数的非线性观测器比低阶观测器收敛速度慢。非线性观测器在调谐参数小的情况下具有最佳的精度。在实时监测的情况下,由于不需要很小的积分步长,因此使用线性误差动态的非线性观测器更为理想。所得结果可应用于生物系统的进一步模拟。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信