0531949 20250123091224.220200904235959.9 85092125702 000612207700099 10.1109/MED48518.2020.9183186 On estimation of the parameters in the complex network via the adaptive observer 6 s. P cav_un_epca*0531948978-1-7281-5742-9Proceedings of the 28th Mediterranean Conference on Control and Automation (MED) 2020605-610PiscatawayIEEE2020 Adaptive observer Identical synchronization Complex networks Chaotic systems cav_un_auth*0215855 Lynnyk Volodymyr UTIA-B Teorie řízení Department of Control Theory TŘ TR Department of Control Theory Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0216347 Rehák Branislav UTIA-B Teorie řízení Department of Control Theory TŘ TR Department of Control Theory Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101074 Čelikovský Sergej UTIA-B Teorie řízení Department of Control Theory TŘ TR Department of Control Theory Ústav teorie informace a automatizace AV ČR, v. v. i. konferenční příspěvek 741 KB GA19-05872S GA ČR CZ cav_un_auth*0376352 In this paper, the problem of estimation of the unknown parameters in the complex networks composed of identical nodes being generalized Lorenz chaotic systems will be discussed. The estimation is provided by an adaptive observer. Estimation of the parameters is provided on the complex network with ring topology and bidirectional coupling between nodes. The extra node being an adaptive observer is connected with the permanent node of the analyzed complex network. During the relatively short period, this additional node will be identically synchronized with the analyzed complex network without precise knowledge of the unknown parameters in the permanent nodes. The results are illustrated by the numerical simulation as well. cav_un_auth*0395261 Mediterranean Conference on Control and Automation (MED) 2020 /28./ 20200915 20200918 Saint-Raphael FR BC 20000 20200 20205 2021 3 4 A sml 4as 20231122145102.8 PR RVO:67985556 http://hdl.handle.net/11104/0310585 S IEEE COPYRIGHT AND CONSENT FORM 20200511 2020 Soubory v repozitáři: lynnyk-0531949-CopyrightReceipt.pdf 85092125702 SCOPUS PUBMED 000612207700099 WOS konferenční příspěvek 741 KB cav_un_epca*0531948 Proceedings of the 28th Mediterranean Conference on Control and Automation (MED) 2020 IEEE 2020 Piscataway 605 610 978-1-7281-5742-9