| Predicting wind power generation using machine learning and CNN-LSTM approaches SM Malakouti, AR Ghiasi, AA Ghavifekr, P Emami Wind Engineering 46 (6), 1853-1869, 2022 | 57 | 2022 |
| Adaptive backstepping quantized control for a class of unknown nonlinear systems E Aslmostafa, S Ghaemi, MA Badamchizadeh, AR Ghiasi ISA transactions 125, 146-155, 2022 | 52 | 2022 |
| Adaptive synchronization of chaotic systems with hysteresis quantizer input M Asadollahi, AR Ghiasi, MA Badamchizadeh ISA transactions 98, 137-148, 2020 | 52 | 2020 |
| An adaptive method to parameter identification and synchronization of fractional-order chaotic systems with parameter uncertainty R Behinfaraz, M Badamchizadeh, AR Ghiasi Applied Mathematical Modelling 40 (7-8), 4468-4479, 2016 | 43 | 2016 |
| Transfer learning based motor imagery classification using convolutional neural networks M Parvan, AR Ghiasi, TY Rezaii, A Farzamnia 2019 27th Iranian Conference on Electrical Engineering (ICEE), 1825-1828, 2019 | 38 | 2019 |
| Grid roadmap based ANN corridor search for collision free, path planning MRB Bahar, AR Ghiasi, HB Bahar Scientia Iranica 19 (6), 1850-1855, 2012 | 34 | 2012 |
| Robust simultaneous finite‐time control and fault detection for uncertain linear switched systems with time‐varying delay H Shokouhi‐Nejad, AR Ghiasi, MA Badamchizadeh IET Control Theory & Applications 11 (7), 1041-1052, 2017 | 33 | 2017 |
| An approach to achieve modified projective synchronization between different types of fractional-order chaotic systems with time-varying delays R Behinfaraz, MA Badamchizadeh, AR Ghiasi Chaos, Solitons & Fractals 78, 95-106, 2015 | 32 | 2015 |
| Control of overhead crane system using adaptive model-free and adaptive fuzzy sliding mode controllers S Pezeshki, MA Badamchizadeh, AR Ghiasi, S Ghaemi Journal of Control, Automation and Electrical Systems 26, 1-15, 2015 | 29 | 2015 |
| Adaptive control for a class of nonlinear chaotic systems with quantized input delays M Asadollahi, AR Ghiasi, MA Badamchizadeh Journal of the Franklin Institute 357 (1), 254-278, 2020 | 28 | 2020 |
| Parameter identification of chaotic systems using a shuffled backtracking search optimization algorithm MA Ahandani, AR Ghiasi, H Kharrati Soft Computing 22 (24), 8317-8339, 2018 | 28 | 2018 |
| Evaluation of the application of computational model machine learning methods to simulate wind speed in predicting the production capacity of the Swiss basel wind farm SM Malakouti, AR Ghiasi 2022 26th International Electrical Power Distribution Conference (EPDC), 31-36, 2022 | 23 | 2022 |
| Simultaneous design of optimal gait pattern and controller for a bipedal robot AR Ghiasi, G Alizadeh, M Mirzaei Multibody system dynamics 23, 401-429, 2010 | 23 | 2010 |
| Dual-user nonlinear teleoperation subjected to varying time delay and bounded inputs A Zakerimanesh, F Hashemzadeh, AR Ghiasi ISA transactions 68, 33-47, 2017 | 21 | 2017 |
| Designing adaptive robust extended Kalman filter based on Lyapunov-based controller for robotics manipulators AR Ghiasi, AA Ghavifekr, YS Hagh, H SeyedGholami 2015 6th International Conference on Modeling, Simulation, and Applied …, 2015 | 21 | 2015 |
| Quantized event‐triggered H∞ control of linear networked systems with time‐varying delays and packet losses M Soltaninejad, AR Ghiasi, S Ghaemi, P Bagheri Optimal Control Applications and Methods 41 (1), 327-348, 2020 | 19 | 2020 |
| Applying of PID, FPID, TID and ITID controllers on AVR system using particle swarm optimization (PSO) FM Miavagh, EAA Miavaghi, AR Ghiasi, M Asadollahi 2015 2nd International Conference on Knowledge-Based Engineering and …, 2015 | 19 | 2015 |
| Adaptive fuzzy observer-based cooperative control of unknown fractional-order multi-agent systems with uncertain dynamics A Afaghi, S Ghaemi, AR Ghiasi, MA Badamchizadeh Soft Computing 24 (5), 3737-3752, 2020 | 17 | 2020 |
| Adaptive robust control of autonomous underwater vehicle S Pezeshki, AR Ghiasi, MA Badamchizadeh, K Sabahi Journal of Control, Automation and Electrical Systems 27, 250-262, 2016 | 17 | 2016 |
| AERO2022-flying danger reduction for quadcopters by using machine learning to estimate current, voltage, and flight area SM Malakouti, AR Ghiasi, AA Ghavifekr e-Prime-Advances in Electrical Engineering, Electronics and Energy 2, 100084, 2022 | 16 | 2022 |
