| A review on microgrid decentralized energy/voltage control structures and methods M Shirkhani, J Tavoosi, S Danyali, AK Sarvenoee, A Abdali, ... Energy Reports 10, 368-380, 2023 | 251 | 2023 |
| Optimal control of an energy-storage system in a microgrid for reducing wind-power fluctuations R Aazami, O Heydari, J Tavoosi, M Shirkhani, A Mohammadzadeh, ... Sustainability 14 (10), 6183, 2022 | 64 | 2022 |
| A machine learning approach for active/reactive power control of grid-connected doubly-fed induction generators J Tavoosi, A Mohammadzadeh, B Pahlevanzadeh, MB Kasmani, SS Band, ... Ain Shams Engineering Journal 13 (2), 101564, 2022 | 63 | 2022 |
| A hybrid approach for fault location in power distributed networks: Impedance-based and machine learning technique J Tavoosi, M Shirkhani, A Azizi, SU Din, A Mohammadzadeh, S Mobayen Electric Power Systems Research 210, 108073, 2022 | 58 | 2022 |
| Nonlinear system identification based on a self-organizing type-2 fuzzy RBFN MBM Jafar Tavoosi, Amir Abolfazl Suratgar Engineering Applications of Artificial Intelligence 54, 26-38, 2016 | 57 | 2016 |
| Modeling renewable energy systems by a self-evolving nonlinear consequent part recurrent type-2 fuzzy system for power prediction J Tavoosi, AA Suratgar, MB Menhaj, A Mosavi, A Mohammadzadeh, ... Sustainability 13 (6), 3301, 2021 | 55 | 2021 |
| Non-Singleton Type-3 Fuzzy Approach for Flowmeter Fault Detection: Experimental Study in a Gas Industry J Wang, J Tavoosi, A Mohammadzadeh, S Mobayen, JH Asad, ... Sensors 21 (21), 7419, 2021 | 50 | 2021 |
| Modeling the price of emergency power transmission lines in the reserve market due to the influence of renewable energies H Iranmehr, R Aazami, J Tavoosi, M Shirkhani, AR Azizi, ... Frontiers in Energy Research 9, 792418, 2022 | 48 | 2022 |
| A class of type-2 fuzzy neural networks for nonlinear dynamical system identification J Tavoosi, MA Badamchizadeh Neural computing and applications 23, 707-717, 2013 | 47 | 2013 |
| Stable ANFIS2 for nonlinear system identification J Tavoosi, AA Suratgar, MB Menhaj Neurocomputing 182, 235-246, 2016 | 45 | 2016 |
| A New General Type-2 Fuzzy Predictive Scheme for PID Tuning J Tavoosi, M Shirkhani, A Abdali, A Mohammadzadeh, M Nazari, ... Applied Sciences 11 (21), 10392, 2021 | 43 | 2021 |
| Stability of interval type-3 fuzzy controllers for autonomous vehicles MW Tian, SR Yan, A Mohammadzadeh, J Tavoosi, S Mobayen, R Safdar, ... Mathematics 9 (21), 2742, 2021 | 43 | 2021 |
| A review on type-2 fuzzy neural networks for system identification J Tavoosi, A Mohammadzadeh, K Jermsittiparsert Soft computing 25 (10), 7197-7212, 2021 | 43 | 2021 |
| Stability analysis of recurrent type-2 TSK fuzzy systems with nonlinear consequent part J Tavoosi, AA Suratgar, MB Menhaj Neural Computing and Applications 28, 47-56, 2017 | 40 | 2017 |
| A New Model Predictive Control Method for Buck-Boost Inverter-Based Photovoltaic Systems S Danyali, O Aghaei, M Shirkhani, R Aazami, J Tavoosi, ... Sustainability 14 (18), 11731, 2022 | 38 | 2022 |
| Backstepping-Based Recurrent Type-2 Fuzzy Sliding Mode Control for MIMO Systems (MEMS Triaxial Gyroscope Case Study) YP Asad, A Shamsi, J Tavoosi International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2017 | 37 | 2017 |
| Stability analysis of a class of MIMO recurrent type-2 fuzzy systems J Tavoosi, AA Suratgar, MB Menhaj International Journal of Fuzzy Systems 19, 895-908, 2017 | 34 | 2017 |
| A deep-learned type-3 fuzzy system and its application in modeling problems MW Tian, A Mohammadzadeh, J Tavoosi, S Mobayen, JH Asad, ... Acta Polytechnica Hungarica 19 (2), 151-172, 2022 | 32 | 2022 |
| A new method for position control of a 2-DOF robot arm using neuro-fuzzy controller J Tavoosi, AS Jokandan, MA Daneshwar Indian Journal of Science and Technology 5 (3), 2253-2257, 2012 | 32 | 2012 |
| Medical image interpolation using recurrent type-2 fuzzy neural network J Tavoosi, C Zhang, A Mohammadzadeh, S Mobayen, AH Mosavi Frontiers in Neuroinformatics 15, 667375, 2021 | 30 | 2021 |
Ardashir MohammadzadehMultidisciplinary Center for Infrastructure Engineering, Shenyang University of TechnologyΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα sut.edu.cn