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2020 – today
- 2023
[i70]Hansung Kim, Francesco Borrelli:
Facilitating Cooperative and Distributed Multi-Vehicle Lane Change Maneuvers. CoRR abs/2301.04316 (2023)- [i69]Xu Shen, Francesco Borrelli:
Reinforcement Learning and Distributed Model Predictive Control for Conflict Resolution in Highly Constrained Spaces. CoRR abs/2302.01586 (2023) - [i68]Eunhyek Joa, Monimoy Bujarbaruah, Francesco Borrelli:
Output Feedback Stochastic MPC with Hard Input Constraints. CoRR abs/2302.10498 (2023) - 2022
- [j53]Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Xiaojing Zhang, Francesco Borrelli:
Robust MPC for LPV systems via a novel optimization-based constraint tightening. Autom. 143: 110459 (2022) - [j52]Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Xiaojing Zhang, Francesco Borrelli:
Corrigendum to "Robust MPC for LPV Systems via a Novel Optimization-Based Constraint Tightening" [Automatica 143C (2022) 110459]. Autom. 146: 110546 (2022) - [j51]Ugo Rosolia
, Xiaojing Zhang, Francesco Borrelli:
Robust Learning Model-Predictive Control for Linear Systems Performing Iterative Tasks. IEEE Trans. Autom. Control. 67(2): 856-869 (2022) - [j50]Charlott Vallon, Francesco Borrelli:
Data-Driven Strategies for Hierarchical Predictive Control in Unknown Environments. IEEE Trans Autom. Sci. Eng. 19(3): 1434-1445 (2022) - [c126]Siddharth H. Nair, Eric H. Tseng, Francesco Borrelli:
Collision Avoidance for Dynamic Obstacles with Uncertain Predictions using Model Predictive Control. CDC 2022: 5267-5272 - [c125]Paula Chanfreut, José M. Maestre, Eduardo F. Camacho, Francesco Borrelli:
Collaborative learning model predictive control for repetitive tasks. CDC 2022: 5291-5296 - [c124]Siddharth H. Nair, Vijay Govindarajan, Theresa Lin, Chris Meissen, H. Eric Tseng, Francesco Borrelli:
Stochastic MPC with Multi-modal Predictions for Traffic Intersections. ITSC 2022: 635-640 - [c123]Xu Shen, Matthew Lacayo, Nidhir Guggilla, Francesco Borrelli:
ParkPredict+: Multimodal Intent and Motion Prediction for Vehicles in Parking Lots with CNN and Transformer. ITSC 2022: 3999-4004 - [i67]Edward L. Zhu, Francesco Borrelli:
A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria. CoRR abs/2203.16478 (2022) - [i66]Tim Brüdigam, Robert Jacumet, Dirk Wollherr, Marion Leibold, Francesco Borrelli:
Safe Stochastic Model Predictive Control. CoRR abs/2204.06207 (2022) - [i65]Thomas Fork, H. Eric Tseng, Francesco Borrelli:
Vehicle Models and Optimal Control on a Nonplanar Surface. CoRR abs/2204.09720 (2022) - [i64]Thomas Fork, H. Eric Tseng, Francesco Borrelli:
Overtaking Maneuvers on a Nonplanar Racetrack. CoRR abs/2204.10446 (2022) - [i63]Xu Shen, Matthew Lacayo, Nidhir Guggilla, Francesco Borrelli:
ParkPredict+: Multimodal Intent and Motion Prediction for Vehicles in Parking Lots with CNN and Transformer. CoRR abs/2204.10777 (2022) - [i62]Finn Lukas Busch, Jake Johnson, Edward L. Zhu, Francesco Borrelli:
A Gaussian Process Model for Opponent Prediction in Autonomous Racing. CoRR abs/2204.12533 (2022) - [i61]Tony Zheng, Monimoy Bujarbaruah, Yvonne R. Stürz, Francesco Borrelli:
Safe Human-Robot Collaborative Transportation via Trust-Driven Role Adaptation. CoRR abs/2207.05896 (2022) - [i60]Siddharth H. Nair, Vijay Govindarajan, Theresa Lin, Yan Wang, Eric H. Tseng, Francesco Borrelli:
Stochastic MPC with Dual Control for Autonomous Driving with Multi-Modal Interaction-Aware Predictions. CoRR abs/2208.03525 (2022) - [i59]Siddharth H. Nair, Eric H. Tseng, Francesco Borrelli:
Collision Avoidance for Dynamic Obstacles with Uncertain Predictions using Model Predictive Control. CoRR abs/2208.03529 (2022) - [i58]Hotae Lee, Monimoy Bujarbaruah, Francesco Borrelli:
Stochastic MPC with Realization-Adaptive Constraint Tightening. CoRR abs/2209.10108 (2022) - [i57]Xu Shen, Francesco Borrelli:
Multi-vehicle Conflict Resolution in Highly Constrained Spaces by Merging Optimal Control and Reinforcement Learning. CoRR abs/2211.01487 (2022) - [i56]Paula Chanfreut, José María Maestre, Eduardo F. Camacho, Francesco Borrelli:
Collaborative learning model predictive control for repetitive tasks. CoRR abs/2211.16633 (2022) - 2021
- [j49]Shima Nazari, Francesco Borrelli, Anna G. Stefanopoulou:
Electric Vehicles for Smart Buildings: A Survey on Applications, Energy Management Methods, and Battery Degradation. Proc. IEEE 109(6): 1128-1144 (2021) - [j48]Monimoy Bujarbaruah, Xiaojing Zhang, Marko Tanaskovic, Francesco Borrelli:
Adaptive Stochastic MPC Under Time-Varying Uncertainty. IEEE Trans. Autom. Control. 66(6): 2840-2845 (2021) - [j47]Xiaojing Zhang, Alexander Liniger, Francesco Borrelli:
Optimization-Based Collision Avoidance. IEEE Trans. Control. Syst. Technol. 29(3): 972-983 (2021) - [j46]Xiaojing Zhang, Monimoy Bujarbaruah, Francesco Borrelli:
Near-Optimal Rapid MPC Using Neural Networks: A Primal-Dual Policy Learning Framework. IEEE Trans. Control. Syst. Technol. 29(5): 2102-2114 (2021) - [j45]Yeojun Kim, Jacopo Guanetti, Francesco Borrelli:
Compact Cooperative Adaptive Cruise Control for Energy Saving: Air Drag Modelling and Simulation. IEEE Trans. Veh. Technol. 70(10): 9838-9848 (2021) - [c122]Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Francesco Borrelli:
A Simple Robust MPC for Linear Systems with Parametric and Additive Uncertainty. ACC 2021: 2108-2113 - [c121]Xu Shen, Edward L. Zhu, Yvonne R. Stürz, Francesco Borrelli:
Collision Avoidance in Tightly-Constrained Environments without Coordination: a Hierarchical Control Approach. ICRA 2021: 2674-2680 - [c120]Monimoy Bujarbaruah, Yvonne R. Stürz, Conrad Holda, Karl Henrik Johansson, Francesco Borrelli:
Learning Environment Constraints in Collaborative Robotics: A Decentralized Leader-Follower Approach. IROS 2021: 1636-1641 - [c119]Thomas Fork, H. Eric Tseng, Francesco Borrelli:
Models and Predictive Control for Nonplanar Vehicle Navigation. ITSC 2021: 749-754 - [c118]Hotae Lee, Monimoy Bujarbaruah, Francesco Borrelli:
Learning How to Solve "Bubble Ball". L4DC 2021: 1068-1079 - [c117]Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg:
Accelerating Quadratic Optimization with Reinforcement Learning. NeurIPS 2021: 21043-21055 - [i55]Monimoy Bujarbaruah, Yvonne R. Stürz, Conrad Holda, Karl Henrik Johansson, Francesco Borrelli:
Decentralized 2-Robot Transportation with Local and Indirect Sensing. CoRR abs/2103.04460 (2021) - [i54]Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Francesco Borrelli:
A Simple Robust MPC for Linear Systems with Parametric and Additive Uncertainty. CoRR abs/2103.12351 (2021) - [i53]Thomas Fork, H. Eric Tseng, Francesco Borrelli:
Models and Predictive Control for Nonplanar Vehicle Navigation. CoRR abs/2104.08427 (2021) - [i52]Charlott Vallon, Francesco Borrelli:
Data-Driven Strategies for Hierarchical Predictive Control in Unknown Environments. CoRR abs/2105.06005 (2021) - [i51]Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg:
Accelerating Quadratic Optimization with Reinforcement Learning. CoRR abs/2107.10847 (2021) - [i50]Yeojun Kim, Jacopo Guanetti, Francesco Borrelli:
Compact Cooperative Adaptive Cruise Control for Energy Saving: Air Drag Modelling and Simulation. CoRR abs/2108.07911 (2021) - [i49]Eunhyek Joa, Francesco Borrelli:
Monocular Camera Localization for Automated Vehicles Using Image Retrieval. CoRR abs/2109.06296 (2021) - [i48]Siddharth H. Nair, Vijay Govindarajan, Theresa Lin, Chris Meissen, H. Eric Tseng, Francesco Borrelli:
Stochastic MPC with Multi-modal Predictions for Traffic Intersections. CoRR abs/2109.09792 (2021) - 2020
- [j44]Stanley W. Smith, Yeojun Kim, Jacopo Guanetti, Ruolin Li, Roya Firoozi, Bruce Wootton, Alex A. Kurzhanskiy, Francesco Borrelli, Roberto Horowitz, Murat Arcak:
Improving Urban Traffic Throughput With Vehicle Platooning: Theory and Experiments. IEEE Access 8: 141208-141223 (2020) - [j43]Chao Sun, Jacopo Guanetti, Francesco Borrelli, Scott J. Moura:
Optimal Eco-Driving Control of Connected and Autonomous Vehicles Through Signalized Intersections. IEEE Internet Things J. 7(5): 3759-3773 (2020) - [j42]Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Felix Li, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine, Francesco Borrelli, Ken Goldberg:
Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks. IEEE Robotics Autom. Lett. 5(2): 3612-3619 (2020) - [j41]Ugo Rosolia, Francesco Borrelli:
Learning How to Autonomously Race a Car: A Predictive Control Approach. IEEE Trans. Control. Syst. Technol. 28(6): 2713-2719 (2020) - [j40]Jongsang Suh, Eric Yongkeun Choi, Francesco Borrelli:
Vision-Based Race Track SLAM Based Only on Lane Curvature. IEEE Trans. Veh. Technol. 69(2): 1495-1504 (2020) - [c116]Charlott Vallon, Francesco Borrelli:
Task Decomposition for Iterative Learning Model Predictive Control. ACC 2020: 2024-2029 - [c115]Xu Shen, Xiaojing Zhang, Francesco Borrelli:
Autonomous Parking of Vehicle Fleet in Tight Environments. ACC 2020: 3035-3040 - [c114]Charlott Vallon, Francesco Borrelli:
Data-Driven Hierarchical Predictive Learning in Unknown Environments. CASE 2020: 104-109 - [c113]Monimoy Bujarbaruah, Tony Zheng, Akhil Shetty, Martin A. Sehr, Francesco Borrelli:
Learning to Play Cup-and-Ball with Noisy Camera Observations. CASE 2020: 372-377 - [c112]Andrea Pozzi, Sangjae Bae, Yongkeun Choi, Francesco Borrelli, Davide Martino Raimondo, Scott J. Moura:
Ecological Velocity Planning through Signalized Intersections: A Deep Reinforcement Learning Approach. CDC 2020: 245-252 - [c111]Dimitris Papadimitriou, Ugo Rosolia, Francesco Borrelli:
Control of Unknown Nonlinear Systems with Linear Time-Varying MPC. CDC 2020: 2258-2263 - [c110]Yvonne R. Stürz, Edward L. Zhu, Ugo Rosolia, Karl Henrik Johansson, Francesco Borrelli:
Distributed Learning Model Predictive Control for Linear Systems. CDC 2020: 4366-4373 - [c109]Edward L. Zhu, Yvonne R. Stürz, Ugo Rosolia, Francesco Borrelli:
Trajectory Optimization for Nonlinear Multi-Agent Systems using Decentralized Learning Model Predictive Control. CDC 2020: 6198-6203 - [c108]Monimoy Bujarbaruah, Charlott Vallon, Francesco Borrelli:
Learning to Satisfy Unknown Constraints in Iterative MPC. CDC 2020: 6204-6209 - [c107]Nicola Scianca, Ugo Rosolia, Francesco Borrelli:
Learning Model Predictive Control for Periodic Repetitive Tasks. ECC 2020: 29-34 - [c106]Monimoy Bujarbaruah, Siddharth H. Nair, Francesco Borrelli:
A Semi-Definite Programming Approach to Robust Adaptive MPC under State Dependent Uncertainty. ECC 2020: 960-965 - [c105]Yeojun Kim, Luca Onesto, Samuel Tay, Lujie Yang, Jacopo Guanetti, Sergio M. Savaresi, Francesco Borrelli:
Shared Perception for Connected and Automated Vehicles. IV 2020: 21-26 - [c104]Xu Shen, Ivo Batkovic, Vijay Govindarajan, Paolo Falcone, Trevor Darrell, Francesco Borrelli:
ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots. IV 2020: 1170-1175 - [i47]Roya Firoozi, Xiaojing Zhang, Francesco Borrelli:
Formation and Reconfiguration of Tight Multi-Lane Platoons. CoRR abs/2003.08595 (2020) - [i46]Edward L. Zhu, Yvonne R. Stürz, Ugo Rosolia, Francesco Borrelli:
Trajectory Optimization for Nonlinear Multi-Agent Systems using Decentralized Learning Model Predictive Control. CoRR abs/2004.01298 (2020) - [i45]Dimitris Papadimitriou, Ugo Rosolia, Francesco Borrelli:
Control of Unknown Nonlinear Systems with Linear Time-Varying MPC. CoRR abs/2004.03041 (2020) - [i44]Siddharth H. Nair, Ugo Rosolia, Francesco Borrelli:
Output-Lifted Learning Model Predictive Control for Flat Systems. CoRR abs/2004.05173 (2020) - [i43]Xu Shen, Ivo Batkovic, Vijay Govindarajan, Paolo Falcone, Trevor Darrell, Francesco Borrelli:
ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots. CoRR abs/2004.10293 (2020) - [i42]Charlott Vallon, Francesco Borrelli:
Task Decomposition for MPC: A Computationally Efficient Approach for Linear Time-Varying Systems. CoRR abs/2005.01673 (2020) - [i41]Charlott Vallon, Francesco Borrelli:
Data-Driven Hierarchical Predictive Learning in Unknown Environments. CoRR abs/2005.05948 (2020) - [i40]Yongkeun Choi, Jacopo Guanetti, Scott J. Moura, Francesco Borrelli:
Data-driven Energy Management Strategy for Plug-in Hybrid Electric Vehicles with Real-World Trip Information. CoRR abs/2006.03704 (2020) - [i39]Monimoy Bujarbaruah, Charlott Vallon, Francesco Borrelli:
Learning to Satisfy Unknown Constraints in Iterative MPC. CoRR abs/2006.05054 (2020) - [i38]Stanley W. Smith, Yeojun Kim, Jacopo Guanetti, Ruolin Li, Roya Firoozi, Bruce Wootton, Alexander Kurzhanskiy, Francesco Borrelli, Roberto Horowitz, Murat Arcak:
Improving Urban Traffic Throughput with Vehicle Platooning: Theory and Experiments. CoRR abs/2006.10272 (2020) - [i37]Roya Firoozi, Laura Ferranti, Xiaojing Zhang, Sebastian Nejadnik, Francesco Borrelli:
A Distributed Multi-Robot Coordination Algorithm for Navigation in Tight Environments. CoRR abs/2006.11492 (2020) - [i36]Yvonne R. Stürz, Edward L. Zhu, Ugo Rosolia, Karl Henrik Johansson, Francesco Borrelli:
Distributed Learning Model Predictive Control for Linear Systems. CoRR abs/2006.13406 (2020) - [i35]Monimoy Bujarbaruah, Ugo Rosolia, Yvonne R. Stürz, Xiaojing Zhang, Francesco Borrelli:
Robust MPC for LTI Systems with Parametric and Additive Uncertainty: A Novel Constraint Tightening Approach. CoRR abs/2007.00930 (2020) - [i34]Monimoy Bujarbaruah, Tony Zheng, Akhil Shetty, Martin A. Sehr, Francesco Borrelli:
Learning to Play Cup-and-Ball with Noisy Camera Observations. CoRR abs/2007.09562 (2020) - [i33]Xu Shen, Edward L. Zhu, Yvonne R. Stürz, Francesco Borrelli:
Collision Avoidance in Tightly-Constrained Environments without Coordination: a Hierarchical Control Approach. CoRR abs/2011.00413 (2020) - [i32]Hotae Lee, Monimoy Bujarbaruah, Francesco Borrelli:
Learning How to Solve Bubble Ball. CoRR abs/2011.10668 (2020)
2010 – 2019
- 2019
- [j39]Donghoon Shin, Beomjun Kim, Kyongsu Yi, Ashwin Carvalho, Francesco Borrelli:
Human-Centered Risk Assessment of an Automated Vehicle Using Vehicular Wireless Communication. IEEE Trans. Intell. Transp. Syst. 20(2): 667-681 (2019) - [j38]Jesús Jesús Félezz, Yeojun Kim, Francesco Borrelli:
A Model Predictive Control Approach for Virtual Coupling in Railways. IEEE Trans. Intell. Transp. Syst. 20(7): 2728-2739 (2019) - [j37]Yi-Wen Liao, Francesco Borrelli:
An Adaptive Approach to Real-Time Estimation of Vehicle Sideslip, Road Bank Angles, and Sensor Bias. IEEE Trans. Veh. Technol. 68(8): 7443-7454 (2019) - [c103]Xiaojing Zhang, Monimoy Bujarbaruah, Francesco Borrelli:
Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural Networks. ACC 2019: 354-359 - [c102]Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
Simple Policy Evaluation for Data-Rich Iterative Tasks. ACC 2019: 2855-2860 - [c101]Roya Firoozi, Shima Nazari, Jacopo Guanetti, Ryan O'Gorman, Francesco Borrelli:
Safe Adaptive Cruise Control with Road Grade Preview and V2V Communication. ACC 2019: 4448-4453 - [c100]Sangjae Bae, Yeojun Kim, Jacopo Guanetti, Francesco Borrelli, Scott J. Moura:
Design and Implementation of Ecological Adaptive Cruise Control for Autonomous Driving with Communication to Traffic Lights. ACC 2019: 4628-4634 - [c99]Sangjae Bae, Yongkeun Choi, Yeojun Kim, Jacopo Guanetti, Francesco Borrelli, Scott J. Moura:
Real-time Ecological Velocity Planning for Plug-in Hybrid Vehicles with Partial Communication to Traffic Lights. CDC 2019: 1279-1285 - [c98]Jacopo Guanetti, Yeojun Kim, Francesco Borrelli:
Eco-routing of connected plug-in hybrid electric vehicles. CDC 2019: 2245-2250 - [c97]Ugo Rosolia, Francesco Borrelli:
Sample-Based Learning Model Predictive Control for Linear Uncertain Systems. CDC 2019: 2702-2707 - [c96]Yeojun Kim, Jacopo Guanetti, Francesco Borrelli:
Robust Eco Adaptive Cruise Control for Cooperative Vehicles. ECC 2019: 1214-1219 - [c95]Stanley W. Smith, Yeojun Kim, Jacopo Guanetti, Alexander Kurzhanskiy, Murat Arcak, Francesco Borrelli:
Balancing Safety and Traffic Throughput in Cooperative Vehicle Platooning. ECC 2019: 2197-2202 - [c94]Nitin R. Kapania, Vijay Govindarajan, Francesco Borrelli, J. Christian Gerdes:
A Hybrid Control Design for Autonomous Vehicles at Uncontrolled Crosswalks. IV 2019: 1604-1611 - [i31]Ugo Rosolia, Francesco Borrelli:
Learning How to Autonomously Race a Car: a Predictive Control Approach. CoRR abs/1901.08184 (2019) - [i30]Nitin R. Kapania, Vijay Govindarajan, Francesco Borrelli, J. Christian Gerdes:
A Hybrid Control Design for Autonomous Vehicles at Uncontrolled Intersections. CoRR abs/1902.00597 (2019) - [i29]Charlott Vallon, Francesco Borrelli:
Model-Based Task Transfer Learning. CoRR abs/1903.07003 (2019) - [i28]Sangjae Bae, Yongkeun Choi, Yeojun Kim, Jacopo Guanetti, Francesco Borrelli, Scott J. Moura:
Real-time Ecological Velocity Planning for Plug-in Hybrid Vehicles with Partial Communication to Traffic Lights. CoRR abs/1903.08784 (2019) - [i27]Ugo Rosolia, Francesco Borrelli:
Sample-Based Learning Model Predictive Control for Linear Uncertain Systems. CoRR abs/1904.06432 (2019) - [i26]Yi-Wen Liao, Francesco Borrelli:
An adaptive approach to real-time estimation of vehicle sideslip, road bank angles and sensor bias. CoRR abs/1905.08881 (2019) - [i25]Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Felix Li, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine, Francesco Borrelli, Ken Goldberg:
Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations. CoRR abs/1905.13402 (2019) - [i24]Xiaojing Zhang, Monimoy Bujarbaruah, Francesco Borrelli:
Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural Networks. CoRR abs/1906.08257 (2019) - [i23]Yeojun Kim, Samuel Tay, Jacopo Guanetti, Francesco Borrelli, Ryan Miller:
Hardware-In-the-Loop for Connected Automated Vehicles Testing in Real Traffic. CoRR abs/1907.09052 (2019) - [i22]Monimoy Bujarbaruah, Xiaojing Zhang, Marko Tanaskovic, Francesco Borrelli:
Adaptive MPC under Time Varying Uncertainty: Robust and Stochastic. CoRR abs/1909.13473 (2019) - [i21]Xu Shen, Xiaojing Zhang, Francesco Borrelli:
Autonomous Parking of Vehicle Fleet in Tight Environments. CoRR abs/1910.02349 (2019) - [i20]Siddharth H. Nair, Monimoy Bujarbaruah, Francesco Borrelli:
Modeling of Dynamical Systems via Successive Graph Approximations. CoRR abs/1910.03719 (2019) - [i19]Monimoy Bujarbaruah, Siddharth H. Nair, Francesco Borrelli:
A Semi-Definite Programming Approach to Robust Adaptive MPC under State Dependent Uncertainty. CoRR abs/1910.04378 (2019) - [i18]Nicola Scianca, Ugo Rosolia, Francesco Borrelli:
Learning Model Predictive Control for Periodic Repetitive Tasks. CoRR abs/1911.07535 (2019) - [i17]Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
Robust Learning Model Predictive Control for Linear Systems. CoRR abs/1911.09234 (2019) - [i16]Ugo Rosolia, Francesco Borrelli:
Minimum Time Learning Model Predictive Control. CoRR abs/1911.09239 (2019) - [i15]Monimoy Bujarbaruah, Akhil Shetty, Kameshwar Poolla, Francesco Borrelli:
Learning Robustness with Bounded Failure: An Iterative MPC Approach. CoRR abs/1911.09910 (2019) - [i14]Xiaojing Zhang, Monimoy Bujarbaruah, Francesco Borrelli:
Near-Optimal Rapid MPC using Neural Networks: A Primal-Dual Policy Learning Framework. CoRR abs/1912.04744 (2019) - 2018
- [j36]Jacopo Guanetti, Yeojun Kim, Francesco Borrelli:
Control of connected and automated vehicles: State of the art and future challenges. Annu. Rev. Control. 45: 18-40 (2018) - [j35]Ugo Rosolia, Francesco Borrelli:
Learning Model Predictive Control for Iterative Tasks. A Data-Driven Control Framework. IEEE Trans. Autom. Control. 63(7): 1883-1896 (2018) - [c93]Yi-Wen Liao, Selina Pan, Francesco Borrelli, J. Karl Hedrick:
Adaptive sliding mode control without knowledge of uncertainty bounds. ACC 2018: 905-911 - [c92]Monimoy Bujarbaruah, Xiaojing Zhang, Francesco Borrelli:
Adaptive MPC with Chance Constraints for FIR Systems. ACC 2018: 2312-2317 - [c91]Xiaojing Zhang, Alexander Liniger, Atsushi Sakai, Francesco Borrelli:
Autonomous Parking Using Optimization-Based Collision Avoidance. CDC 2018: 4327-4332 - [c90]Ugo Rosolia, Xiaojing Zhang, Francesco Borrelli:
A Stochastic MPC Approach with Application to Iterative Learning. CDC 2018: 5152-5157 - [c89]Yeojun Kim, Xiaojing Zhang, Jacopo Guanetti, Francesco Borrelli:
Robust Model Predictive Control with Adjustable Uncertainty Sets. CDC 2018: 5176-5181 - [c88]Monimoy Bujarbaruah, Xiaojing Zhang, Ugo Rosolia, Francesco Borrelli:
Adaptive MPC for Iterative Tasks. CDC 2018: 6322-6327 - [c87]Roya Firoozi, Jacopo Guanetti, Roberto Horowitz, Francesco Borrelli:
Vehicle Localization and Control on Roads with Prior Grade Map. CDC 2018: 6982-6987 - [i13]Yi-Wen Liao, Selina Pan, Francesco Borrelli, J. Karl Hedrick:
Adaptive sliding mode control without knowledge of uncertainty bounds. CoRR abs/1802.09689 (2018) - [i12]Jacopo Guanetti, Yeojun Kim, Francesco Borrelli:
Control of Connected and Automated Vehicles: State of the Art and Future Challenges. CoRR abs/1804.03757 (2018) - [i11]Monimoy Bujarbaruah, Xiaojing Zhang, Francesco Borrelli:
Adaptive MPC with Chance Constraints for FIR Systems. CoRR abs/1804.09790 (