Nazad
IEEE
Parameter identification of different models of automatic voltage regulation system
Vladan Vujičić , Martin Ćalasan , Mihailo Micev , Milovan Radulović
Download
2023
IEEE
optimization of voltage controller parameters considering the real model of the automatic voltage regulation system
Download 2024 Martin Ćalasan , Mihailo Micev , Milovan Radulović
Institute of Electrical and Electronics Engineers (IEEE)
Artificial Neural Network-Based Nonlinear Black-Box Modeling of Synchronous Generators
Download 2023 Martin Ćalasan , Shady H. E. Abdel Aleem , Mihailo Micev , Hany M. Hasanien , Ahmed F. Zobaa , Milovan Radulović
IEEE
Parameter identification of different models of automatic voltage regulation system
Download 2023 Vladan Vujičić , Martin Ćalasan , Mihailo Micev , Milovan Radulović
IEEE
Identification of nonlinear Hammerstein-Wiener model for representing a field voltage-terminal voltage relation of synchronous generator
Download 2022 Martin Ćalasan , Mihailo Micev , Milovan Radulović
Advanced Search
Reset
Partners
Subscribe to repository
EmpowerHR4Inno project is implemented at the Faculty for International Economics, Finance and Business and sponsored through IPA grant sheme „Scientific potential in support of innovation development“, CFCU/MNE/212, call reference EuropeAid/172-351/ID/ACT/ME. This website was created and maintained with the financial support of the Ministry of Education, Science and Innovation in Montenegro, Ministry of Finance in Montenegro and Delegation European Union. Its contents are the sole responsibility of Faculty for International Economics, Finance and Business UDG and do not necessarily reflect the views of the European Union.
Copyright © 2024 EmpowerHR4Inno. All right reserved.
Copyright © 2024 EmpowerHR4Inno. All rights reserved.