| Back stepping sliding mode control of blood glucose for type I diabetes NT Parsa, AR Vali, R Ghasemi International Journal of Energy and Power Engineering 8 (11), 779-783, 2014 | 41 | 2014 |
| A new decentralized fuzzy model reference adaptive controller for a class of large-scale nonaffine nonlinear systems R Ghasemi, MB Menhaj, A Afshar European Journal of Control 15 (5), 534-544, 2009 | 32 | 2009 |
| Fractional neural observer design for a class of nonlinear fractional chaotic systems A Sharafian, R Ghasemi Neural Computing and Applications 31, 1201-1213, 2019 | 25 | 2019 |
| A comparative analysis of star identification algorithms Alireza Toloei, Mona Zahednamazi, R Ghasemi, F Mohammadi Astrophysics and Space Science 365 (63), 1-9, 2020 | 17* | 2020 |
| Intelligent nonlinear observer design for a class of nonlinear discrete-time flexible joint robot MRR Khoygani, R Ghasemi, AR Vali Intelligent Service Robotics, 1-12, 2014 | 17 | 2014 |
| Adaptive state tracking controller for multi-input multi-output non-affine nonlinear systems R Ghasemi International Journal of Computer and Electrical Engineering 3 (3), 426, 2011 | 17 | 2011 |
| Neural estimation using a stable discrete-time MLP observer for a class of discrete-time uncertain MIMO nonlinear systems MR Rahimi Khoygani, R Ghasemi Nonlinear Dynamics 84, 2517-2533, 2016 | 16 | 2016 |
| Fuzzy fractional sliding mode observer design for a class of nonlinear dynamics of the cancer disease S Rooka, R Ghasemi International Journal of Automation and Control 12 (1), 62-77, 2018 | 15 | 2018 |
| Adaptive neural observer-based nonsingular terminal sliding mode controller design for a class of nonlinear systems H Karami, R Ghasemi, F Mohammadi 2019 6th International Conference on Control, Instrumentation and Automation …, 2019 | 14 | 2019 |
| Design controller for a class of nonlinear pendulum dynamical system MRR Khoygani, R Ghasemi, D Sanaei IAES International Journal of Artificial Intelligence 2 (4), 159, 2013 | 14 | 2013 |
| Energy storage selection for leo satellites B Abdi, A Alimardani, R Ghasemi, SMM Mirtalaei International Journal of Machine Learning and Computing 3 (3), 287, 2013 | 14 | 2013 |
| A decentralized stable fuzzy adaptive controller for large scale nonlinear systems R Ghasemi, MB Menhaj, A Afshar Journal of applied sciences 9 (5), 892-900, 2009 | 14 | 2009 |
| Stable state dependent Riccati equation neural observer for a class of nonlinear systems A Sharafian, R Ghasemi International Journal of Modelling, Identification and Control 28 (3), 256-270, 2017 | 13 | 2017 |
| Distributed fuzzy adaptive sliding mode formation for nonlinear multi-quadrotor systems P Manouchehri, R Ghasemi, A Toloei International Journal of Engineering 33 (5), 798-804, 2020 | 11 | 2020 |
| A novel terminal sliding mode observer with RBF neural network for a class of nonlinear systems A Sharafian, R Ghasemi International Journal of Systems, Control and Communications 9 (4), 369-385, 2018 | 11 | 2018 |
| Designing intelligent adaptive controller for nonlinear pendulum dynamical system R Ghasemi, MRR Khoygani International Journal of Energy and Power Engineering 8 (11), 2026-2030, 2014 | 11 | 2014 |
| Designing observer based variable structure controller for large scale nonlinear systems R Ghasemi IAES International Journal of Artificial Intelligence 2 (3), 125, 2013 | 11 | 2013 |
| Different types of star identification algorithms for satellite attitude determination using star sensor M Zahednamazi, A Toloei, R Ghasemi Aerospace Systems 4 (2), 1-10, 2021 | 10 | 2021 |
| Fixed time terminal sliding mode trajectory tracking design for a class of nonlinear dynamical model of air cushion vehicle H Karami, R Ghasemi SN Applied Sciences 2 (98), 1-9, 2020 | 9 | 2020 |
| Designing discrete time optimal controller for double inverted pendulum system MR Rahimi, R Ghasemi, D Sanaei International Journal on Numerical and Analytical Methods in Engineering 1 …, 2013 | 9 | 2013 |
Mohammad Bagher MenhajProfessor of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran在 aut.ac.ir 的电子邮件经过验证
