| A machine learning approach for personalized autonomous lane change initiation and control C Vallon, Z Ercan, A Carvalho, F Borrelli 2017 IEEE Intelligent vehicles symposium (IV), 1590-1595, 2017 | 121 | 2017 |
| Task decomposition for iterative learning model predictive control C Vallon, F Borrelli 2020 American Control Conference (ACC), 2024-2029, 2020 | 14 | 2020 |
| Data-driven hierarchical predictive learning in unknown environments C Vallon, F Borrelli 2020 IEEE 16th International Conference on Automation Science and …, 2020 | 12 | 2020 |
| Data-driven strategies for hierarchical predictive control in unknown environments CS Vallon, F Borrelli IEEE Transactions on Automation Science and Engineering 19 (3), 1434-1445, 2022 | 11 | 2022 |
| Learning to satisfy unknown constraints in iterative MPC M Bujarbaruah, C Vallon, F Borrelli 2020 59th IEEE Conference on Decision and Control (CDC), 6204-6209, 2020 | 8 | 2020 |
| Exploiting model sparsity in adaptive MPC: A compressed sensing viewpoint M Bujarbaruah, C Vallon Learning for Dynamics and Control, 137-146, 2020 | 3 | 2020 |
| Task decomposition for MPC: A computationally efficient approach for linear time-varying systems C Vallon, F Borrelli IFAC-PapersOnLine 53 (2), 4240-4245, 2020 | 2 | 2020 |
| Learning Hierarchical Control Systems for Autonomous Systems with Energy Constraints C Vallon, M Pustilnik, A Pinto, F Borrelli arXiv preprint arXiv:2403.14536, 2024 | | 2024 |
| Learning Hierarchical Control For Constrained Dynamic Task Assignment C Vallon, A Pinto, B Stellato, F Borrelli arXiv preprint arXiv:2403.14545, 2024 | | 2024 |
| Learning Hierarchical Control For Multi-Agent Capacity-Constrained Systems C Vallon, A Pinto, B Stellato, F Borrelli arXiv e-prints, arXiv: 2403.14545, 2024 | | 2024 |
| Data-Driven Methods for Safe Task Transfer Learning with Model Predictive Control CS Vallon University of California, Berkeley, 2021 | | 2021 |
Francesco BorrelliProfessor of Controls, UC Berkeley, CAVerified email at berkeley.edu
