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

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

Parra, A., Zubizarreta, A., Perez, J., Dendaluce, M. Intelligent Torque Vectoring approach for Electric Vehicles with per-wheel motors, Complexity, pp. 1-14, 2018. JCR Impact Factor: 2.591 (2018). Quartile: Q1. https://doi.org/10.1155/2018/7030184

Parra, A., Zubizarreta, A., Perez, J. An Intelligent Torque Vectoring performance evaluation comparison for electric vehicles, 15 th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018), Singapur, 2018. ISBN: 978-1-5386-9582-1. https://doi.org/10.1109/ICARCV.2018.8581190