0572571 20240402214025.020230605235959.9 85148749407 000992418500010 10.1007/978-3-031-21438-7_10 14 s. P cav_un_epca*0572570978-3-031-21437-0118-131ChamSpringer2023ŠilhavýR.ŠilhavýP.ProkopováZ. Artificial delay Infinite-dimensional model Nelder-Mead algorithm Relay-based identification cav_un_auth*0450647 Pekař L. CZ cav_un_auth*0382598 Kuklišová Pavelková Lenka UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0450649 Matušů R. CZ This study aims at an extension and substantial improvement of the recently published relay-feedback parameter identification of an infinite-dimensional system thermal process model. The original procedure has applied the standard on/off relay to get a simplified model. Then, the dominant pole assignment has given rise to the process model characteristic quasi-polynomial via the Levenberg-Marquardt algorithm. Finally, the same optimization tool has been used to determine transfer function numerator parameters. On the contrary, a saturated relay is used to receive an improved initial simplified-model estimation in this contribution. As the process model in question has eight unknown parameters, a doubled relay test with artificial delay is made, which enables the estimation of all the parameters simultaneously. Moreover, the Nelder-Mead algorithm is used as the optimization tool. A numerical example validates an enhanced estimation in time and frequency domains. cav_un_auth*0450917 Computational Methods in Systems and Software (CoMeSySo) 2022 20221010 20221015 online CZ BD 20000 20200 20205 2024 3 PR RVO:67985556 https://hdl.handle.net/11104/0343820 S Proceedings Paper Computer Science Artificial Intelligence|Computer Science Information Systems|Computer Science Interdisciplinary Applications 2023 85148749407 SCOPUS PUBMED 000992418500010 WOS cav_un_epca*0572570 Data Science and Algorithms in Systems. CoMeSySo 2022 Springer 2023 Cham 118 131 978-3-031-21437-0 Lecture Notes in Networks and Systems 597 Šilhavý R. 340 Šilhavý P. 340 Prokopová Z. 340