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References
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2024
Yacoub, M., Antkiewicz, M., Czarnecki, K., & . (2024). Gain‐scheduled model predictive controller for vehicle‐following trajectory generation for autonomous vehicles Vehicle System Dynamics, 1‐‐26.
Danaei, B., & McPhee, J. (2024). Optimal Implant Positioning Following Total Knee Arthroplasty Using Predictive Dynamic Simulation Journal of Biomechanical Engineering, 146, 111003.
Bell, S., Nasr, A., & McPhee, J. (2024). General muscle torque generator model for a two degree-of-freedom shoulder joint Journal of Biomechanical Engineering. https://doi.org/https://doi.org/10.1115/1.4065044 (Original work published 2024)
2023
Zhao, J., Li, X., Shum, C., & McPhee, J. (2023). Control‐oriented computational fuel cell dynamics modeling‐‐model order reduction vs. computational speed Energy, 266, 126488.
Nasr, A., Hunter, J., Dickerson, C. R., & McPhee, J. (2023). Evaluation of a machine-learning-driven active-passive upper-limb exoskeleton robot: Experimental human-in-the-loop study Wearable Technologies, 4. https://doi.org/https://doi.org/10.1017/wtc.2023.9 (Original work published 2023)
Zhao, J., Li, X., Shum, C., & McPhee, J. (2023). A computationally efficient and high‐fidelity 1D steady‐state performance model for PEM fuel cells Journal of Physics: Energy, 5, 015003.
Nasr, A., Dickerson, C. R., & McPhee, J. (2023). Experimental study of fully passive, fully active, and active-passive upper-limb exoskeleton efficiency: An assessment of lifting tasks Sensors, 24. https://doi.org/https://doi.org/10.3390/s24010063 (Original work published 2023)
Hashemi, A., Orzechowski, G., Mikkola, A., & McPhee, J. (2023). Multibody Dynamics and Control using Machine Learning Multibody System Dynamics.
MohammadiNasrabadi, A., & McPhee, J. (2023). Preliminary optimization of cup-implant orientation in total-hip arthroplasty using a parametric predictive analysis of lower-limb dynamics influenced by spine stiffness Multibody System Dynamics, 1-26. https://doi.org/https://doi.org/10.1007/s11044-023-09951-3