Publications

Selected Journal Papers:

2024

1. Taghavifar, H., Chongfeng Wei, Leyla Taghavifar, 2024. Socially Intelligent Reinforcement Learning for Optimal Automated Vehicle Control in Traffic Scenarios. IEEE Transactions on Automation Science and Engineering. DOI: 10.1109/TASE.2023.3347264.  

2. Taghavifar, H., Mardani, A., 2024. Gaussian Process with Automatic Relevance Determination Predictive Model for Energy Management of Electric Direct-Drive Wheels: Experimental Validation. IEEE Transactions on Vehicular Technology, 73(2), 1910–1917.  

3. Hu, C., Taghavifar, H., Liao X., Na J., Yu Zhang, Qin Y., 2024. Adaptive Synthesized Fault-Tolerant Autonomous Vehicle Control with Guaranteed Performance and Saturated Input. IEEE Transactions on Vehicular Technology. DOI: 10.1109/TVT.2024.3415664.   

4. Mohammadzadeh, A., Taghavifar, H., Youmin Zhang, Wenjun Zhang, 2024. A Fast Non-Singleton Type-3 Fuzzy Predictive Controller for Nonholonomic Robots under Sensor and Actuator Faults and Measurement Errors. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(7), 4175-4187.  

5. Rasidescu, V., Taghavifar, H., 2024. Socially Intelligent Path-planning for Autonomous Vehicles Using Type-2 Fuzzy Social Psychology. IEEE Access, 12, 112399-112411. 

6. Taghavifar, H., Mohammadzadeh, A., Zhang, W., Zhang, C., 2024. Nonsingular Fractional-Order Sliding Mode with Nonsingleton Gaussian Type-3 Fuzzy System for Path Tracking of Autonomous Cars Under Measurement Errors and Faulty Sensors. ISA Transactions, 146, 75–86.  

7. Taghavifar, H., Chuan Hu, 2024. A Finite-Time Path-Tracking Control Algorithm for Nonholonomic Mobile Robots with Unknown Dynamics and Subject to Wheel Slippage/Skid Disturbances. IMechE, Part I: Systems and Control Engineering, 238(7), 1260–1272.  

8. Xue, W., Zhou, B., Chen, F., Taghavifar, H., Mohammadzadeh, A., Ghaderpour, E., 2024. A Constrained Fuzzy Control for Robotic Systems. IEEE Access, 12, 7298–7309.  

9. Taghavifar, H., Mohammadzadeh, A., 2024. Integrating Deep Reinforcement Learning and Social-Behavioral Cues: A New Human-Centric Cyber-Physical Approach in Automated Vehicle Decision-Making. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. DOI: 10.1177/09544070241230126.  

2023

10. Taghavifar, H., 2023. Adaptive Robust Sliding Mode Control with Integral Backstepping Synthesized Method for Autonomous Vehicle Control. Vehicles, 5(3), 1013–1029.  

11. Taghavifar, H., Shojaei, K., 2023. Adaptive Robust Control Algorithm for Enhanced Path-Tracking Performance of Automated Driving in Critical Scenarios. Soft Computing, 27(13), 8841-8854. 

12. Man-Wen Tian, Khalid A. Alattas, Wei Guo, Taghavifar, H., Ardashir Mohammadzadeh, Wenjun Zhang, Chunwei Zhang, 2023. A Strong, Secure Path Planning/Following System Based on Type-3 Fuzzy Control, Multi-Switching Chaotic Systems, and Random-Switching Topology. Complex and Intelligent Systems, 10, 1997–2012.  

13. Mohammadzadeh, A., Taghavifar, H., Zhang, C., Alattas, A., Liu, J., Vu, M.T., 2023. A Nonlinear Fractional-order Type-3 Fuzzy Control for Enhanced Path-Tracking Performance of Autonomous Cars. IET Control Theory & Applications, 18, 40–54.  

14. 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, 237(14), 3397–3407.  

15. Taghavifar, H., Hu, C., Taghavifar, L., Qin, Y., Wei, C., 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, 238(6), 1427–1439. 

2022

16. 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. 

17. 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

18. 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.

19. 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. 

20. 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. 

21. 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.

22. 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. 

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

24. 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. 

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

2020

26. 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. 

27. 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. 

28. 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. 

29. 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. 

30. 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. 

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

32. 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

33. 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. 

34. 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. 

35. 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. 

36. 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. 

37. 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. 

38. 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.

39. 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. 

40. 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. 

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

42. 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. 

43. 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. 

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

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

2018

46. 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. 

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