Load–frequency control of interconnected power system using emotional learning-based intelligent controller R Farhangi, M Boroushaki, SH Hosseini International Journal of Electrical Power & Energy Systems 36 (1), 76-83, 2012 | 96 | 2012 |
Emotional learning based intelligent controllers for rotor flux oriented control of induction motor R Abdollahi, R Farhangi, A Yarahmadi Journal of Electrical Engineering 65 (4), 228-234, 2014 | 5 | 2014 |
The Kuramoto model: The stability conditions in the presence of phase shift R Farhangi, MT Hamidi Beheshti Neural Processing Letters 53 (4), 2631-2648, 2021 | 3 | 2021 |
Transient stability conditions assessment in smart grids via new Lyapunov approaches R Farhangi, MT Beheshti 2020 10th Smart Grid Conference (SGC), 1-6, 2020 | 3 | 2020 |
An analytical approach for the stability analysis of power networks through Kuramoto oscillators model R Farhangi, MTH Beheshti, M Jamil, AA Khan Communications in Nonlinear Science and Numerical Simulation, 107467, 2023 | 2 | 2023 |
Analytical analysis of power network stability: necessary and sufficient conditions J Soleimani, R Farhangi, G Karabulut Kurt, F Mechershavi IntechOpen eBooks, 1-30, 2024 | | 2024 |
SPEED CONTROL OF INDUCTION MOTOR USED NOVEL INTELLIGENT CONTROLLER. R Abdollahi, SA Ghafelebashi, A Yarahmadi, R Farhangi Science International 27 (4), 2015 | | 2015 |
Load–frequency control of interconnected power system using emotional learning with turbine steam generation constraint R Farhangi, R Abdollahi 25th International Power System Conference, 2010 | | 2010 |