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.
References
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2023
Laschowski, B., & McPhee, J. (2023). Energy-Efficient Actuator Design Principles for Robotic Leg Prostheses and Exoskeletons: A Review of Series Elasticity and Backdrivability ASME Journal of Computational and Nonlinear Dynamics. https://doi.org/10.1115/1.4056919
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., 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)
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.
2022
Nasr, A., Bell, S., & McPhee, J. (2022). Optimal design of active-passive shoulder exoskeletons: a computational modeling of human-robot interaction Multibody System Dynamics. https://doi.org/https://doi.org/10.1007/s11044-022-09855-8 (Original work published 2022)
Lin, Y., McPhee, J., & Azad, N. L. (2022). Co‐optimization of on‐ramp merging and plug‐in hybrid electric vehicle power split using deep reinforcement learning IEEE Transactions on Vehicular Technology, 71, 6958‐‐6968.
Febrer-Nafría, M., Nasr, A., Ezati, M., Brown, P., Font-Llagunes, J. M., & McPhee, J. (2022). Predictive multibody dynamic simulation of human neuromusculoskeletal systems: a review Multibody System Dynamics. https://doi.org/https://doi.org/10.1007/s11044-022-09852-x (Original work published 2022)
Laschowski, B., Inkol, K. A., Mihailidis, A., & McPhee, J. (2022). Simulation of Energy Regeneration in Human Locomotion for Efficient Exoskeleton Actuation Presented at the IEEE RAS EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) conference. IEEE. https://doi.org/10.1109/BioRob52689.2022.9925349 (Original work published 2022)