0543620 20250123093536.520210702235959.9 85113620622 000811823100162 10.1109/MED51440.2021.9480175 6 s. P cav_un_epca*0543619978-0-7381-1098-11086-1091PiscatawayIEEE2021 Neural networks Multi-agent systems Nonlinear systems 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*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. konferenční příspěvek http://library.utia.cas.cz/separaty/2021/TR/rehak-0543620.pdf 253,89 KB GA19-07635S GA ČR CZ cav_un_auth*0376351 This paper discusses synchronization of a network composed of agents that are nonlinear and minimum phase. The main tool is feedback linearization. The results are applied to the problem of synchronization of a network composed of Hindmarsh-Rose neurons. Using the developed scheme, it is demonstrated that synchronization is achieved by considering the membrane potential only, the fact that the neuron is a minimum-phase nonlinear system implies that the other states are synchronized as well. The results are illustrated by simulations. cav_un_auth*0411027 Mediterranean Conference on Control and Automation (MED 2021) /29./ 20210622 20210625 Bari IT BC 10000 10200 10201 2022 2 4 A sml 4as 20231122145816.7 PR RVO:67985556 http://hdl.handle.net/11104/0320807 S IEEE COPYRIGHT AND CONSENT FORM 20210413 2021 Soubory v repozitáři: rehak-0543620-CopyrightReceipt189.pdf 85113620622 SCOPUS PUBMED 000811823100162 WOS konferenční příspěvek 253,89 KB cav_un_epca*0543619 Proceedings of the 29th Mediterranean Conference on Control and Automation (MED 2021) IEEE 2021 Piscataway 1086 1091 978-0-7381-1098-1