Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Petar Matic"'
Publikováno v:
IEEE Access, Vol 11, Pp 139823-139848 (2023)
Artificial neural networks (ANN) are a data driven tool that has been used for modeling, prediction, optimization, classification, diagnostics, decision-making, etc., in various systems where measurements are available to produce significant amount o
Externí odkaz:
https://doaj.org/article/655288e2bce24dd283e4dde0c725600a
Autor:
Petar Matic
Publikováno v:
Srpska politička misao. :223-238
Cilj ovoga rada je da ukaže na najznačajnije posledice lokalnih izbora u Srbiji koji su se održali u 13 gradova i opština širom Srbije (izuzimajući glavni grad Beograd). S obzirom na realne domete decentralizacije i položaj lokalne samouprave
Autor:
Aleksandar Mitić, Petar Matic
Publikováno v:
Srpska politička misao. :245-266
Iako potvrđena rezolucijom Narodne skupštine Republike Srbije, strateškim dokumentima i izjavama srpskih i inostranih, pa i NATO zvaničnika, vojna neutralnost Srbije je istovremeno osporavana. To osporavanje je prati od usvajanja rezolucije 2007.
Autor:
Petar Matic, Darko Marcetic
Publikováno v:
2022 XIV International Symposium on Industrial Electronics and Applications (INDEL).
Publikováno v:
2022 XIV International Symposium on Industrial Electronics and Applications (INDEL).
Publikováno v:
2022 57th International Universities Power Engineering Conference (UPEC).
Publikováno v:
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT).
System identification plays an important role in system control and controller tuning. Data- driven identification provides a behavioristic model of an identified system or process that can be useful for remote controller tuning by simulating the res
Autor:
Nemanja Kitic, Petar Matic, Dorde Lekic, Predrag Mrsic, Bojan Erceg, Cedomir Zeljkovic, Vanja Starcevic
Publikováno v:
2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH).
Publikováno v:
2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH).
Autor:
Petar Matic, Darko Marcetic
Publikováno v:
IEEE Transactions on Industrial Electronics. 67:8186-8196
This article proposes nonregenerative braking algorithm for the permanent magnet synchronous motor (PMSM), suitable for low-cost drive equipped with the front-end diode rectifier. The algorithm is based on the selection of braking trajectories with m