Publications

Selected Journal Papers:

2023

1. Taghavifar, H., Taghavifar, L., Hu, C., Wei, C., & Qin, Y. (2023). Optimal reinforcement learning and probabilistic-risk-based path planning and following of autonomous vehicles with obstacle avoidance. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 09544070221149278. 

2. Taghavifar, H. (2023). Robust AISMC-neural network observer-based control of high-speed autonomous vehicles with unknown dynamics. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 09544070221145742. 

3. Taghavifar, H., & Shojaei, K. (2023). Adaptive robust control algorithm for enhanced path-tracking performance of automated driving in critical scenarios. Soft Computing, 1-14. 

2022

4. Shojaei, K., & Taghavifar, H. (2022). Input-output feedback linearization control of a tractor with n-trailers mechanism considering the path curvature. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 236(17), 9700-9715. 

5. Li, G., Olaverri-Monreal, C., Qu, X., Wu, C. S., Li, S. E., Taghavifar, H., ... & Li, S. (2022). Driver Behavior in Intelligent Transportation Systems. IEEE Intelligent Transportation Systems Magazine, 14(3), 7-9. 

2021

6. Taghavifar, H., Qin, Y., & Hu, C. (2021). Adaptive immersion and invariance induced optimal robust control of unmanned surface vessels with structured/unstructured uncertainties. Ocean Engineering, 239, 109792.

7. Taghavifar, H. (2021). Integrated control of vehicle stability by nonlinear observer-based exponential-like sliding mode neural network system. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 235(14), 3474-3486. 

8. Shirzadeh, M., Amirkhani, A., Tork, N., & Taghavifar, H. (2021). Trajectory tracking of a quadrotor using a robust adaptive type-2 fuzzy neural controller optimized by cuckoo algorithm. ISA transactions, 114, 171-190. 

9. Taghavifar, H., Rakheja, S., & Reina, G. (2021). A novel optimal path-planning and following algorithm for wheeled robots on deformable terrains. Journal of Terramechanics, 96, 147-157. 

10. Zhao, Z., Taghavifar, H., Du, H., Qin, Y., Dong, M., & Gu, L. (2021). In-wheel motor vibration control for distributed-driven electric vehicles: A review. IEEE Transactions on Transportation Electrification, 7(4), 2864-2880. 

11. Taghavifar, H. (2021). EKF estimation based PID Type-2 fuzzy control of electric cars. Measurement, 173, 108557. 

12. Taghavifar, H., & Taghavifar, H. (2021). Adaptive robust control-based energy management of hybrid PV-Battery systems with improved transient performance. International Journal of Hydrogen Energy, 46(10), 7442-7453. 

13. Taghavifar, H. (2021). A novel energy harvesting approach for hybrid electromagnetic-based suspension system of off-road vehicles considering terrain deformability. Mechanical Systems and Signal Processing, 146, 106988.

2020

14. Mohammadzadeh, A., & Taghavifar, H. (2020). A novel adaptive control approach for path tracking control of autonomous vehicles subject to uncertain dynamics. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 234(8), 2115-2126. 

15. Taghavifar, H., Xu, B., Hu, C., Qin, Y., & Wei, C. (2020). Commercial vehicle-based robust control of seated whole-body vibration using adaptive indirect type-2 fuzzy neural network. IEEE Access, 8, 124949-124960. 

16. Taghavifar, H., Hu, C., Qin, Y., & Wei, C. (2020). EKF-neural network observer based type-2 fuzzy control of autonomous vehicles. IEEE Transactions on Intelligent Transportation Systems, 22(8), 4788-4800. 

17. Taghavifar, H., Hu, C., Taghavifar, L., Qin, Y., Na, J., & Wei, C. (2020). Optimal robust control of vehicle lateral stability using damped least-square backpropagation training of neural networks. Neurocomputing, 384, 256-267. 

18. Taghavifar, H., & Rakheja, S. (2020). A methodology to analyze the vehicle vibration response to deformable terrain stiffness and damping properties. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 234(4), 1123-1136. 

19. Mohammadzadeh, A., & Taghavifar, H. (2020). A robust fuzzy control approach for path-following control of autonomous vehicles. Soft Computing, 24(5), 3223-3235. 

20. Taghavifar, H. (2020). Reduced vibration of off-road vehicle nonlinear suspension system using an adaptive integral sliding mode-neural network controller. International Journal of Dynamics and Control, 8, 291-301. 

2019

21. Taghavifar, H., & Rakheja, S. (2019). Multi-objective optimal robust seat suspension control of off-road vehicles in the presence of disturbance and parametric uncertainty using metaheuristics. IEEE Transactions on Intelligent Vehicles, 5(3), 372-384. 

22. Taghavifar, H., Mardani, A., Hu, C., & Qin, Y. (2019). Adaptive robust nonlinear active suspension control using an observer-based modified sliding mode interval type-2 fuzzy neural network. IEEE Transactions on Intelligent Vehicles, 5(1), 53-62. 

23. Vatandoost, H., Alehashem, S. M. S., Norouzi, M., Taghavifar, H., & Ni, Y. Q. (2019). A supervised artificial neural network-assisted modeling of magnetorheological elastomers in tension–compression mode. IEEE Transactions on Magnetics, 55(12), 1-8. 

24. Hu, C., Gao, H., Guo, J., Taghavifar, H., Qin, Y., Na, J., & Wei, C. (2019). RISE-based integrated motion control of autonomous ground vehicles with asymptotic prescribed performance. ieee transactions on systems, man, and cybernetics: systems, 51(9), 5336-5348. 

25. Taghavifar, H., Xu, B., Taghavifar, L., & Qin, Y. (2019). Optimal path-planning of nonholonomic terrain robots for dynamic obstacle avoidance using single-time velocity estimator and reinforcement learning approach. IEEE Access, 7, 159347-159356. 

26. Taghavifar, H., & Rakheja, S. (2019). A novel terramechanics-based path-tracking control of terrain-based wheeled robot vehicle with matched-mismatched uncertainties. IEEE Transactions on Vehicular Technology, 69(1), 67-77. 

27. Taghavifar, H. (2019). Neural network autoregressive with exogenous input assisted multi-constraint nonlinear predictive control of autonomous vehicles. IEEE Transactions on Vehicular Technology, 68(7), 6293-6304. 

28. Hu, C., Wang, Z., Taghavifar, H., Na, J., Qin, Y., Guo, J., & Wei, C. (2019). MME-EKF-based path-tracking control of autonomous vehicles considering input saturation. IEEE Transactions on Vehicular Technology, 68(6), 5246-5259. 

29. Wei, C., Romano, R., Merat, N., Wang, Y., Hu, C., Taghavifar, H., & Boer, E. R. (2019). Risk-based autonomous vehicle motion control with considering human driver’s behaviour. Transportation research part C: emerging technologies, 107, 1-14. 

30. Taghavifar, H., & Rakheja, S. (2019). Path-tracking of autonomous vehicles using a novel adaptive robust exponential-like-sliding-mode fuzzy type-2 neural network controller. Mechanical Systems and Signal Processing, 130, 41-55. 

31. Taghavifar, H., & Rakheja, S. (2019). Parametric analysis of the potential of energy harvesting from commercial vehicle suspension system. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 233(11), 2687-2700. 

32. Wei, C., Zhang, K., Hu, C., Wang, Y., Taghavifar, H., & Jing, X. (2019). A tunable nonlinear vibrational energy harvesting system with scissor-like structure. Mechanical Systems and Signal Processing, 125, 202-214. 

33. Wei, C., Taghavifar, H., & Mardani, A. (2019). Appraisal of numerical based finite element method to synthesise the wheel-obstacle collision dynamics using a single-wheel tester. International Journal of Heavy Vehicle Systems, 26(3-4), 578-598. 

2018

34. Taghavifar, H., & Li, B. (2018). PSO-fuzzy gain scheduling of PID controllers for a nonlinear half-vehicle suspension system. SAE International Journal of Passenger Cars-Mechanical Systems, 12(06-12-01-0001), 5-20. 

35. Taghavifar, H., & Rakheja, S. (2018). Supervised ANN-assisted modeling of seated body apparent mass under vertical whole body vibration. Measurement, 127, 78-88.