{"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.