{"title":"生物模型中未测量变量的恢复方法","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":"{\"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}","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}
Recovery Methods of Unmeasured Variables for Biological Models
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.