| MME-EKF-based path-tracking control of autonomous vehicles considering input saturation C Hu, Z Wang, H Taghavifar, J Na, Y Qin, J Guo, C Wei IEEE Transactions on Vehicular Technology 68 (6), 5246-5259, 2019 | 181 | 2019 |
| Investigating the effect of velocity, inflation pressure, and vertical load on rolling resistance of a radial ply tire H Taghavifar, A Mardani Journal of Terramechanics 50 (2), 99-106, 2013 | 178 | 2013 |
| Path-tracking of autonomous vehicles using a novel adaptive robust exponential-like-sliding-mode fuzzy type-2 neural network controller H Taghavifar, S Rakheja Mechanical Systems and Signal Processing 130, 41-55, 2019 | 139 | 2019 |
| A hybridized artificial neural network and imperialist competitive algorithm optimization approach for prediction of soil compaction in soil bin facility H Taghavifar, A Mardani, L Taghavifar Measurement 46 (8), 2288-2299, 2013 | 116 | 2013 |
| Prognostication of energy consumption and greenhouse gas (GHG) emissions analysis of apple production in West Azarbayjan of Iran using Artificial Neural Network H Taghavifar, A Mardani Journal of Cleaner Production 87, 159-167, 2015 | 115 | 2015 |
| A novel approach to energy harvesting from vehicle suspension system: Half-vehicle model C Wei, H Taghavifar Energy 134, 279-288, 2017 | 106 | 2017 |
| RISE-based integrated motion control of autonomous ground vehicles with asymptotic prescribed performance C Hu, H Gao, J Guo, H Taghavifar, Y Qin, J Na, C Wei ieee transactions on systems, man, and cybernetics: systems 51 (9), 5336-5348, 2019 | 91 | 2019 |
| Off-road vehicle dynamics H Taghavifar, A Mardani Studies in Systems, Decision and Control 70, 37, 2017 | 90 | 2017 |
| Effect of velocity, wheel load and multipass on soil compaction H Taghavifar, A Mardani Journal of the Saudi Society of Agricultural Sciences 13 (1), 57-66, 2014 | 84 | 2014 |
| Appraisal of artificial neural networks to the emission analysis and prediction of CO2, soot, and NOx of n-heptane fueled engine H Taghavifar, H Taghavifar, A Mardani, A Mohebbi, S Khalilarya, ... Journal of Cleaner Production 112, 1729-1739, 2016 | 79 | 2016 |
| A non‐linear fractional‐order type‐3 fuzzy control for enhanced path‐tracking performance of autonomous cars A Mohammadzadeh, H Taghavifar, C Zhang, KA Alattas, J Liu, MT Vu IET Control Theory & Applications 18 (1), 40-54, 2024 | 78 | 2024 |
| Risk-based autonomous vehicle motion control with considering human driver’s behaviour C Wei, R Romano, N Merat, Y Wang, C Hu, H Taghavifar, ... Transportation research part C: emerging technologies 107, 1-14, 2019 | 76 | 2019 |
| Application of artificial neural networks for the prediction of traction performance parameters H Taghavifar, A Mardani Journal of the Saudi Society of Agricultural Sciences 13 (1), 35-43, 2014 | 74 | 2014 |
| Adaptive robust nonlinear active suspension control using an observer-based modified sliding mode interval type-2 fuzzy neural network H Taghavifar, A Mardani, C Hu, Y Qin IEEE Transactions on Intelligent Vehicles 5 (1), 53-62, 2019 | 72 | 2019 |
| In-wheel motor vibration control for distributed-driven electric vehicles: A review Z Zhao, H Taghavifar, H Du, Y Qin, M Dong, L Gu IEEE Transactions on Transportation Electrification 7 (4), 2864-2880, 2021 | 69 | 2021 |
| Applying a supervised ANN (artificial neural network) approach to the prognostication of driven wheel energy efficiency indices H Taghavifar, A Mardani Energy 68, 651-657, 2014 | 69 | 2014 |
| Neural network autoregressive with exogenous input assisted multi-constraint nonlinear predictive control of autonomous vehicles H Taghavifar IEEE Transactions on Vehicular Technology 68 (7), 6293-6304, 2019 | 64 | 2019 |
| Energy consumption analysis of wheat production in West Azarbayjan utilizing life cycle assessment (LCA) H Taghavifar, A Mardani Renewable Energy 74, 208-213, 2015 | 57 | 2015 |
| A novel terramechanics-based path-tracking control of terrain-based wheeled robot vehicle with matched-mismatched uncertainties H Taghavifar, S Rakheja IEEE Transactions on Vehicular Technology 69 (1), 67-77, 2019 | 53 | 2019 |
| A comparative trend in forecasting ability of artificial neural networks and regressive support vector machine methodologies for energy dissipation modeling of off-road vehicles H Taghavifar, A Mardani Energy 66, 569-576, 2014 | 52 | 2014 |
Aref Mardani (Korani)Associate Prof., Department of Mechanical Engineering of Biosystems, Urmia UniversityVerified email at urmia.ac.ir
