0547044 20240903190027.120211022235959.9 85117526013 000716159600001 10.3390/math9202625 16 s. E cav_un_epca*04536012227-73909MDPI Hindmarsh-Rose neuron Multi-agent systems Stochastic retarded system 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. příspěvek v odborném časopise 756 KB https://www.mdpi.com/2227-7390/9/20/2625 GA19-07635S GA ČR CZ cav_un_auth*0376351 An algorithm for synchronization of a network composed of interconnected Hindmarsh-Rose neurons is presented. Delays are present in the interconnections of the neurons. Noise is addedto the controlled input of the neurons. The synchronization algorithm is designed using convexoptimization and is formulated by means of linear matrix inequalities via the stochastic version ofthe Razumikhin functional. The recovery and the adaptation variables are also synchronized. This isdemonstrated with the help of the minimum-phase property of the Hindmarsh-Rose neuron. Theresults are illustrated by an example. WOS BC 10000 10200 10201 2022 2 4 A sml 4as 20231122150028.0 RVO:67985556 http://hdl.handle.net/11104/0323437 1 S MDPI Publications Copyright Transfer Form 20211012 2625 n.a. Article Mathematics A MATHEMATICS 2.542 0.65 1.7 0.01537 0.409 12448 84 0.538 40.24 2.8 10662 Q2 2.206 3288 Q1 93.8 Q3 Q2 2.15 Q1 93.844 2021 Soubory v repozitáři: rehak-0547044-Copyright2.pdf 85117526013 SCOPUS PUBMED 000716159600001 WOS příspěvek v odborném časopise 756 KB cav_un_epca*0453601 Mathematics 2227-7390 2227-7390 Roč. 9 č. 20 2021 MDPI ONLINE