Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Mokhtar Shasadeghi"'
Publikováno v:
IEEE Access, Vol 12, Pp 18520-18535 (2024)
This paper introduces an innovative optimal control approach to achieve output tracking while incorporating $H_{2}$ -performance specifications in a specific class of nonlinear dynamics modeled by the Takagi-Sugeno fuzzy model (TSFM). The primary inn
Externí odkaz:
https://doaj.org/article/105a708dd07b4a8aaf2dbe671d6732c4
Autor:
Farzad Soltanian, Amir Parviz Valadbeigi, Jafar Tavoosi, Rahmat Aazami, Mokhtar Shasadeghi, Mohammadamin Shirkhani, Amirreza Azizi
Publikováno v:
Complexity, Vol 2024 (2024)
This study utilizes the Takagi–Sugeno fuzzy model to represent a subset of nonlinear systems and presents an innovative adaptive approach for optimal dynamic terminal sliding mode control (TSMC). The systems under consideration encompass bounded un
Externí odkaz:
https://doaj.org/article/40b95fdd2b414c2983bb743efc197b4b
Autor:
Yousef Niazi, Amirhossein Rajaei, Vahid Moradzadeh Tehrani, Mokhtar Shasadeghi, Saleh Mobayen, Pawel Skruch
Publikováno v:
IEEE Access, Vol 11, Pp 119352-119361 (2023)
A voltage boost switched-capacitor multi-level inverter (SCMLI) structure is planned which is able to control the voltage gain. The structure is based on Current-fed Dickson Voltage Multiplier (CFDVM). The CFDVM at the input stage limits the capacito
Externí odkaz:
https://doaj.org/article/8206d602d2d04555ac8a8defcb2c0aa2
Publikováno v:
IEEE Access, Vol 11, Pp 88597-88608 (2023)
This paper introduces a new data-driven MPC structure based on two offline and online parts to achieve the robust and constrained performance in an optimal scheme. In the first step, according to the model matching condition, an offline data-driven c
Externí odkaz:
https://doaj.org/article/2ef4b4965026449ea51a52d4dc498a8c
Publikováno v:
IEEE Access, Vol 10, Pp 14680-14690 (2022)
This paper proposes a novel scheme of the multi-objective robust control design for a class of uncertain nonlinear systems in strict-feedback-form based on Takagi–Sugeno fuzzy model (TSFM). The nonlinear system contains both the matched and the unm
Externí odkaz:
https://doaj.org/article/77855c340dca4986a37dc1671f4dd1a8
Autor:
Yousef Niazi, Amirhossein Rajaei, Mohsen Farbood, Vahid Moradzadeh Tehrani, Mokhtar Shasadeghi, Mahdi Shahparasti
Publikováno v:
IEEE Access, Vol 10, Pp 71209-71220 (2022)
This study presents a new approach to modeling and control the current-fed Dickson voltage multiplier (CF-DVM). The capacitor voltage relation and the input current are obtained. As all switching intervals are considered in detail, a highly accurate
Externí odkaz:
https://doaj.org/article/3a44c8b6c69a4c52acd3126a702ff17c
Publikováno v:
IEEE Access, Vol 9, Pp 151729-151740 (2021)
This paper proposes an $H_{\infty }$ reset unknown input observer (R-UIO) based on the Takagi-Sugeno (T-S) fuzzy model for the state estimation of nonlinear uncertain systems. Firstly, $H_{\infty }$ unknown input observer (UIO) is designed for TSFM-b
Externí odkaz:
https://doaj.org/article/4211727a19e84605a45bc426488ad6df
Autor:
Mohsen Farbood, Mohammad Veysi, Mokhtar Shasadeghi, Afshin Izadian, Taher Niknam, Jamshid Aghaei
Publikováno v:
IEEE Access, Vol 9, Pp 147874-147887 (2021)
This paper introduces a systematic and comprehensive method to design a constrained fuzzy model predictive control (MPC) cooperated with integral sliding mode control (ISMC) based on the Takagi-Sugeno (T-S) fuzzy model for uncertain continuous-time n
Externí odkaz:
https://doaj.org/article/db3761f7731c40d19cf6a6e85981082d
Publikováno v:
International Journal of Industrial Electronics, Control and Optimization, Vol 3, Iss 1, Pp 35-46 (2020)
In this paper, a new topology of switched-inductor/capacitor quasi impedance source inverter is suggested, which in comparison with the other topologies possesses higher boost voltage inversion at high modulation index and low shoot through duty cycl
Externí odkaz:
https://doaj.org/article/652fb5f7c35c476781b762303f54220f
Publikováno v:
IEEE Systems Journal. :1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e7202b12aea66fcb11eaeb82d1eccba
https://doi.org/10.1109/jsyst.2023.3261756
https://doi.org/10.1109/jsyst.2023.3261756