Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sepide Yazdi"'
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52:4033-4044
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9163928f02cc16fb12a9727d010e90e6
https://doi.org/10.1109/tsmc.2021.3131540
https://doi.org/10.1109/tsmc.2021.3131540
Publikováno v:
ISA Transactions. 107:78-89
This study aims to design a robust reset dynamic output feedback control (DOFC) for a class of uncertain linear systems. This procedure is performed as following. First, the elements of the robust DOFC are designed via the linear matrix inequality (L
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a002a18feb26a657fe44b88066cad60
https://doi.org/10.1016/j.isatra.2020.07.026
https://doi.org/10.1016/j.isatra.2020.07.026
Autor:
Sepide Yazdi, Alireza Khayatian
Publikováno v:
Journal of Process Control. 88:78-85
This paper proposes a systematic approach for designing a reset dynamic output feedback controller (DOFC). The reset controller is designed in three steps. First, the D-stability approach is used to design the gain matrices of the DOFC for the base s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00b82ff57cc52bd340ea992268d7f062
https://doi.org/10.1016/j.jprocont.2020.02.008
https://doi.org/10.1016/j.jprocont.2020.02.008
Publikováno v:
Scopus-Elsevier
Contingency ranking is one of the most important stages in the analysis of power system security. In this paper, an integrated algorithm has been proposed to address this issue. This algorithm employs neural networks method to quickly estimate the po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ad2b159f6ea2d8c6806a33f2f479fd6
https://doi.org/10.24200/sci.2017.4120
https://doi.org/10.24200/sci.2017.4120
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 32:3859-3866
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f578933cbacb2a3f334de3ed8dab8f38
https://doi.org/10.3233/ifs-162169
https://doi.org/10.3233/ifs-162169