| On observer-based controller design for Sugeno systems with unmeasurable premise variables H Moodi, M Farrokhi ISA transactions 53 (2), 305-316, 2014 | 61 | 2014 |
| Wind turbine control using TS systems with nonlinear consequent parts H Moodi, D Bustan Energy 172, 922-931, 2019 | 40 | 2019 |
| Robust observer-based controller design for Takagi–Sugeno systems with nonlinear consequent parts H Moodi, M Farrokhi Fuzzy Sets and Systems 273, 141-154, 2015 | 38 | 2015 |
| Robust observer design for Sugeno systems with incremental quadratic nonlinearity in the consequent H Moodi, M Farrokhi International Journal of Applied Mathematics and Computer Science 23 (4 …, 2013 | 20 | 2013 |
| Adaptive interval type-2 fuzzy controller for variable-speed wind turbine D Bustan, H Moodi Journal of Modern Power Systems and Clean Energy 10 (2), 524-530, 2020 | 13 | 2020 |
| On stabilization conditions for T–S systems with nonlinear consequent parts H Moodi, M Farrokhi, TM Guerra, J Lauber International Journal of Fuzzy Systems 21, 84-94, 2019 | 13 | 2019 |
| On identification of nonlinear systems using Volterra kernels expansion on Laguerre and wavelet function H Moodi, D Bustan 2010 Chinese Control and Decision Conference, 1141-1145, 2010 | 13 | 2010 |
| Robust controller design for Takagi–Sugeno systems with nonlinear consequent part and time delay H Moodi, A Kazemy International Journal of Fuzzy Systems 21 (3), 745-754, 2019 | 7 | 2019 |
| Swing-up control of a double inverted pendulum by combination of q-learning and pid algorithms A Zeynivand, H Moodi 2022 8th International Conference on Control, Instrumentation and Automation …, 2022 | 6 | 2022 |
| Unmeasurable premise avoidance in TS fuzzy observers H Moodi, D Bustan 2017 5th International Conference on Control, Instrumentation, and …, 2017 | 6 | 2017 |
| Finite-frequency H∞ control design for t–s fuzzy systems with state/input delay and physical constraints A Kazemy, H Moodi Engineering Applications of Artificial Intelligence 85, 607-618, 2019 | 5 | 2019 |
| Improving modelling accuracy of aerodynamic curve of a wind turbine using neural networks D Bustan, H Moodi Journal of Scientific Research and Reports 16 (3), 1-9, 2017 | 5 | 2017 |
| State estimation of fuzzy Sugeno systems with local nonlinear rules and unmeasurable premise variables H Moodi, M Farrokhi 2012 17th International Conference on Methods & Models in Automation …, 2012 | 5 | 2012 |
| Robust observer design for TS systems with nonlinear consequent parts H Moodi, M Farrokhi 2012 2nd International eConference on Computer and Knowledge Engineering …, 2012 | 4 | 2012 |
| Non-quadratic stabilization for TS systems with nonlinear consequent parts H Moodi, J Lauber, TM Guerra, M Farrokhi Information Processing and Management of Uncertainty in Knowledge-Based …, 2014 | 3 | 2014 |
| Robust observer-based controller design for TS systems with nonlinear consequent parts H Moodi, M Farrokhi 2013 21st Iranian Conference on Electrical Engineering (ICEE), 1-6, 2013 | 3 | 2013 |
| A fuzzy inference method for systems with large number of rules D Bustan, H Moodi, N Pariz, N Azmoodeh NAFIPS 2006-2006 Annual Meeting of the North American Fuzzy Information …, 2006 | 3 | 2006 |
| Hybrid force and position control of a 4DOF surgical robot with disturbance observer AF Mohammadzadegan, F Ashrafzadeh, H Moodi 2019 27th Iranian Conference on Electrical Engineering (ICEE), 1052-1057, 2019 | 2 | 2019 |
| On deterministic approaches to attitude determination with magnometer in eclipse H Moodi, D Bustan 2010 Chinese Control and Decision Conference, 3754-3759, 2010 | 2 | 2010 |
| Adaptive Robust Variable Impedance Controller for Lower Limb Rehabilitation Robot with Augmented Type-2 Fuzzy System H Moodi, B Zamani Nemat Sara, D Bustan Iranian Journal of Science and Technology, Transactions of Electrical …, 2022 | 1 | 2022 |
Mohammad FarrokhiProfessor of Electrical Engineering, Iran University of Science and TechnologyVerified email at iust.ac.ir
