Asier Zubizarreta Picó :: Publications

Matute, J.A., Perez, J., Zubizarreta, A. A Fail-Operational Control Architecture Approach and Dead-Reckoning Strategy in Case of Positioning Failures, Sensors, pp. 1-20, 2020. JCR Impact Factor: 3.576 (0). Quartile: Q1. https://doi.org/10.3390/s20020442
Brull, A., Lucas, S., Zubizarreta, A., Cabanes, I., Portillo, E., Rodriguez, A. A Machine Learning Approach to Perform Physical Activity Classification Using a Sensorized Crutch Tip, IEEE Access , vol. 8, pp. 210023 - 210034, 2020. JCR Impact Factor: 3.367 (2020). Quartile: Q2. https://doi.org/10.1109/ACCESS.2020.3039885
Brull, A., Zubizarreta, A., Cabanes, I., Rodriguez, A. Sensorized Tip for Monitoring People with Multiple Sclerosis that Require Assistive Devices for Walking, Sensors, vol. 20, No. 15, pp. 4329, 2020. JCR Impact Factor: 3.576 (2020). Quartile: Q1. https://doi.org/10.3390/s20154329
Sesar, I., Zubizarreta, A., Cabanes, I., Brull, A., Torres, J., Rodriguez, A. A preliminary analysis of gait performance of patients with multiple sclerosis using a sensorized crutch tip, 21st International Federation of Automatic Control World Congress (IFAC 2020), Berlín, Alemania, 2020. ISBN: 2405-8963.
Matute, J.A., González, L., Zubizarreta, A. A study of a comfortable vehicle motion predictive control with no speed limit reference, 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Cracovia, 2019. ISBN: 978-1-5386-9484-8.
Matute, J.A., Lattarulo, R., Zubizarreta, A., Perez, J. A Comparison Between Coupled and Decoupled Vehicle Motion Controllers Based on Prediction Models, 2019 IEEE Intelligent Vehicles Symposium (IV), Lisboa, 2019. ISBN: 978-1-7281-0559-8.
Parra, A., Cacigas, D., Zubizarreta, A., J., A., Prieto, P. Modelling and Validation of Full Vehicle Model based on a Novel Multibody Formulation, IEEE 45th Annual Conference of the Industrial Electronics Society, Lisboa, 2019. https://doi.org/10.1109/IECON.2019.8926854
Parra, A., Zubizarreta, A., Perez, J. A novel Torque Vectoring Algorithm with Regenerative Braking Capabilities, IEEE 45th Annual Conference of the Industrial Electronics Society, Lisboa, 2019. ISBN: 978-1-7281-4878-6. https://doi.org/10.1109/IECON.2019.8926644
Parra, A., Zubizarreta, A., Perez, J. A comparative study of the effect of Intelligent Control based Torque Vectoring Systems on EVs with different powertrain architectures, 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, Nueva Zelanda, 2019. ISBN: 978-1-5386-7023-1. https://doi.org/10.1109/ITSC.2019.8917381
Etxegarai, U., Portillo, E., Irazusta, J., Cabanes, I., Zubizarreta, A. Aplicación de técnicas de agrupamiento a corredores de resistencia para la estimación del umbral de lactato, Proceedings of the XL Jornadas de Automática, Ferrol, A Coruña., 2019. ISBN: 978-84-9749-716-9. Best Conference Paper Award in Bioengineering. https://doi.org/10.17979/spudc.9788497497169
Mancisidor, A., Zubizarreta, A., Cabanes, I., Bengoa, P., Brull, A., Hyung, J. Inclusive and seamless control framework for safe robot-mediated therapy for upper limbs rehabilitation, Mechatronics, vol. 58, pp. 70-79, 2019. JCR Impact Factor: 2.978 (2019). Quartile: Q1. https://doi.org/10.1016/j.mechatronics.2019.02.002
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