| A Dual Active-Set Solver for Embedded Quadratic Programming Using Recursive LDL Updates D Arnström, A Bemporad, D Axehill IEEE Transactions on Automatic Control 67 (8), 4362-4369, 2022 | 37 | 2022 |
| A unifying complexity certification framework for active-set methods for convex quadratic programming D Arnström, D Axehill IEEE Transactions on Automatic Control 67 (6), 2758-2770, 2021 | 36 | 2021 |
| Exact complexity certification of a standard primal active-set method for quadratic programming D Arnström, D Axehill 2019 IEEE 58th Conference on Decision and Control (CDC), 4317-4324, 2019 | 18 | 2019 |
| Exact complexity certification of a nonnegative least-squares method for quadratic programming D Arnström, A Bemporad, D Axehill IEEE Control Systems Letters 4 (4), 1036-1041, 2020 | 8 | 2020 |
| State estimation for truck and trailer systems using deep learning D Arnström | 8 | 2018 |
| Complexity certification of proximal-point methods for numerically stable quadratic programming D Arnström, A Bemporad, D Axehill IEEE Control Systems Letters 5 (4), 1381-1386, 2020 | 7 | 2020 |
| Overall complexity certification of a standard branch and bound method for mixed-integer quadratic programming S Shoja, D Arnström, D Axehill 2022 American Control Conference (ACC), 4957-4964, 2022 | 6 | 2022 |
| Exact complexity certification of a standard branch and bound method for mixed-integer linear programming S Shoja, D Arnström, D Axehill 2022 IEEE 61st Conference on Decision and Control (CDC), 6298-6305, 2022 | 4 | 2022 |
| On complexity certification of active-set QP methods with applications to linear MPC D Arnström Linköping University Electronic Press, 2021 | 4 | 2021 |
| Real-time certified MPC: Reliable active-set QP solvers D Arnström Linköping University Electronic Press, 2023 | 3 | 2023 |
| Exact complexity certification of an early-terminating standard primal active-set method for quadratic programming D Arnström, D Axehill IFAC-PapersOnLine 53 (2), 6509-6515, 2020 | 3 | 2020 |
| Exact worst-case execution-time analysis for implicit model predictive control D Arnström, D Broman, D Axehill IEEE Transactions on Automatic Control, 2024 | 2 | 2024 |
| A Linear Programming Method Based on Proximal-Point Iterations With Applications to Multi-Parametric Programming D Arnström, A Bemporad, D Axehill IEEE Control Systems Letters 6, 2066-2071, 2021 | 2 | 2021 |
| Stealthy Deactivation of Safety Filters D Arnström, AMH Teixeira arXiv preprint arXiv:2403.17861, 2024 | 1 | 2024 |
| BnB-DAQP: A Mixed-Integer QP Solver for Embedded Applications D Arnström, D Axehill IFAC-PapersOnLine 56 (2), 7420-7427, 2023 | 1 | 2023 |
| Lift, Partition, and Project: Parametric Complexity Certification of Active-Set QP Methods in the Presence of Numerical Errors D Arnström, D Axehill 2022 IEEE 61st Conference on Decision and Control (CDC), 4381-4387, 2022 | 1 | 2022 |
| Semi-Explicit Linear MPC Using a Warm-Started Active-Set QP Algorithm with Exact Complexity Guarantees D Arnström, D Axehill 2021 60th IEEE Conference on Decision and Control (CDC), 2557-2562, 2021 | 1 | 2021 |
| A High-Performant Multi-Parametric Quadratic Programming Solver D Arnström, D Axehill arXiv preprint arXiv:2404.05511, 2024 | | 2024 |
| Feedback Exponential Stabilization of GHZ States of Multiqubit Systems........ W. Liang, NH Amini, and P. Mason 2918 Hybrid Feedback for Global Tracking on Matrix Lie Groups SO … MS Mufid, D Adzkiya, A Abate, D Goswami, DA Paley, W Liu, DE Quevedo, ... | | |
Daniel AxehillProfessor, Automatic Control, Linköping UniversityVerified email at liu.se
