An enhanced model parameter estimation by a slow-fast decomposition based on the first order two time-scale expansion

0566422 20240111141114.420230105235959.9 An enhanced model parameter estimation by a slow-fast decomposition based on the first order two time-scale expansion 1 s. P cav_un_epca*0566433Proceedings of the PANM 21 Programy a algoritmy numericke matematiky 21 /2022/19-19PrahaInstitute of Mathematics Czech Academy of Sciences2023 Dynamical systems Estimated parameters cav_un_auth*0404313 Papáček Štěpán UTIA-B Teorie řízení Department of Control Theory TŘ TR CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0100790 Matonoha Ctirad UIVT-O Oddělení výpočetní matematiky Department of Computational Mathematics Department of Computational Mathematics Ústav informatiky AV ČR, v. v. i. abstrakt http://library.utia.cas.cz/separaty/2023/TR/papacek-0566422.pdf 277 KB GA21-03689S GA ČR CZ cav_un_auth*0410139 Some dynamical systems, e.g. biochemical networks, are characterized by more than one time scale. On the paradigmatic example of a drug-induced enzyme production we show how the slow-fast decomposition can serve for an enhanced parameter estimation when the slowly changing features are rigorously incorporated. cav_un_auth*0442480 PANM 21 Programy a algoritmy numericke matematiky 21 /2022/ 20220619 20220624 Jablonec nad Nisou CZ BC 20000 20200 20205 2023 4 O 4o 20231122151055.3 PR RVO:67985556 RVO:67985807 https://hdl.handle.net/11104/0337777 S 2023 Soubory v repozitáři: 0566422.pdf SCOPUS PUBMED WOS abstrakt 277 KB cav_un_epca*0566433 Proceedings of the PANM 21 Programy a algoritmy numericke matematiky 21 /2022/ 19 19 Proceedings of the PANM 21 Programms and Algorithms of Numerical Mathematics 21 /2022/ Praha Institute of Mathematics Czech Academy of Sciences 2023