Daniel Axehill
Professor
- Journal papers
- Conference papers
- Book chapters
- Reports
- In compilation thesis
- PhD theses
- Licentiate theses
Publication list
Journal papers
Abhishek Dhar, Carl Hynén, Johan Löfberg, Daniel Axehill, Disturbance-Parametrized Robust Lattice-based Motion Planning, IEEE Transactions on Intelligent Vehicles 9:3034-3046 (2024) https://doi.org/10.1109/tiv.2023.3296691
Daniel Arnstrom, David Broman, Daniel Axehill, Exact Worst-Case Execution-Time Analysis for Implicit Model Predictive Control, IEEE Transactions on Automatic Control 69:7190-7196 (2024) https://doi.org/10.1109/TAC.2024.3395521
Magnus Malmström, Anton Kullberg, Isaac Skog, Daniel Axehill, Fredrik Gustafsson, Extended Target Tracking Utilizing Machine-Learning Software–With Applications to Animal Classification, IEEE Signal Processing Letters 31:376-380 (2024) https://doi.org/10.1109/LSP.2024.3353165
Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson, Uncertainty quantification in neural network classifiers—A local linear approach, Automatica 163:111563 (2024) https://doi.org/10.1016/j.automatica.2024.111563
Daniel Arnström, Daniel Axehill, A Unifying Complexity Certification Framework for Active-Set Methods for Convex Quadratic Programming, IEEE Transactions on Automatic Control 67:2758-2770 (2022) https://doi.org/10.1109/TAC.2021.3090749
Daniel Arnström, Alberto Bemporad, Daniel Axehill, A Dual Active-Set Solver for Embedded Quadratic Programming Using Recursive LDLT Updates, IEEE Transactions on Automatic Control 67:4362-4369 (2022) https://doi.org/10.1109/TAC.2022.3176430
Daniel Arnström, Alberto Bemporad, Daniel Axehill, A Linear Programming Method Based on Proximal-Point Iterations With Applications to Multi-Parametric Programming, IEEE Control Systems Letters 6:2066-2071 (2022) https://doi.org/10.1109/LCSYS.2021.3138218
Per Boström-Rost, Daniel Axehill, Gustaf Hendeby, PMBM Filter With Partially Grid-Based Birth Model With Applications in Sensor Management, IEEE Transactions on Aerospace and Electronic Systems 58:530-540 (2022) https://doi.org/10.1109/taes.2021.3103255
Daniel Arnström, Alberto Bemporad, Daniel Axehill, Complexity Certification of Proximal-Point Methods for Numerically Stable Quadratic Programming, IEEE Control Systems Letters 5:1381-1386 (2021) https://doi.org/10.1109/LCSYS.2020.3038035
Kristoffer Bergman, Oskar Ljungqvist, Daniel Axehill, Improved Path Planning by Tightly Combining Lattice-Based Path Planning and Optimal Control, IEEE Transactions on Intelligent Vehicles 6:57-66 (2021) https://doi.org/10.1109/TIV.2020.2991951
Per Boström-Rost, Daniel Axehill, Gustaf Hendeby, Sensor management for search and track using the Poisson multi-Bernoulli mixture filter, IEEE Transactions on Aerospace and Electronic Systems 57:2771-2783 (2021) https://doi.org/10.1109/TAES.2021.3061802
Daniel Arnström, Alberto Bemporad, Daniel Axehill, Exact Complexity Certification of a Nonnegative Least-Squares Method for Quadratic Programming, IEEE Control Systems Letters 4:1036-1041 (2020) https://doi.org/10.1109/LCSYS.2020.2998953
Isak Nielsen, Daniel Axehill, Direct Parallel Computations of Second-Order Search Directions for Model Predictive Control, IEEE Transactions on Automatic Control 64:2845-2860 (2019) https://doi.org/10.1109/TAC.2018.2880405
Oskar Ljungqvist, Niclas Evestedt, Daniel Axehill, Marcello Cirillo, Henrik Pettersson, A path planning and path-following control framework for a general 2-trailer with a car-like tractor, Journal of Field Robotics 36:1345-1377 (2019) https://doi.org/10.1002/rob.21908
Isak Nielsen, Daniel Axehill, Low-Rank Modifications of Riccati Factorizations for Model Predictive Control, IEEE Transactions on Automatic Control 63:872-879 (2018) https://doi.org/10.1109/TAC.2017.2737228
Per Boström-Rost, Daniel Axehill, Gustaf Hendeby, On Global Optimization for Informative Path Planning, IEEE Control Systems Letters 2:833-838 (2018) https://doi.org/10.1109/LCSYS.2018.2849559
Erik Ward, Niclas Evestedt, Daniel Axehill, John Folkesson, Probabilistic Model for Interaction Aware Planning in Merge Scenarios, IEEE Transactions on Intelligent Vehicles 2:133-146 (2017) https://doi.org/10.1109/TIV.2017.2730588
Daniel Axehill, Controlling the level of sparsity in MPC, Systems & control letters (Print) 76:1-7 (2015) https://doi.org/10.1016/j.sysconle.2014.12.002
Alexander Fuchs, Daniel Axehill, Manfred Morari, Lifted Evaluation of mp-MIQP Solutions, IEEE Transactions on Automatic Control 60:3328-3331 (2015) https://doi.org/10.1109/TAC.2015.2417853
Daniel Axehill, Thomas Besselmann, Davide Martino Raimondo, Manfred Morari, A parametric branch and bound approach to suboptimal explicit hybrid MPC, Automatica 50:240-246 (2014) https://doi.org/10.1016/j.automatica.2013.10.004
Daniel Axehill, Manfred Morari, An Alternative use of the Riccati Recursion for Efficient Optimization, Systems & control letters (Print) 61:37-40 (2012) https://doi.org/10.1016/j.sysconle.2011.09.018
Daniel Axehill, Lieven Vandenberghe, Anders Hansson, Convex Relaxations for Mixed Integer Predictive Control, Automatica 46:1540-1545 (2010) https://doi.org/10.1016/j.automatica.2010.06.015
Daniel Axehill, Anders Hansson, Fredrik Gunnarsson, A Low-Complexity High-Performance Preprocessing Algorithm for Multiuser Detection using Gold Sequences, IEEE Transactions on Signal Processing 56:4377-4385 (2008) https://doi.org/10.1109/TSP.2008.926190
Conference papers
2024
Anja Hellander, Kristoffer Bergman, Daniel Axehill, Improved Task and Motion Planning for Rearrangement Problems using Optimal Control*, 2024 IEEE Intelligent Vehicles Symposium (IV), pp. 2033-2040, IEEE (2024) https://doi.org/10.1109/iv55156.2024.10588789
2023
Daniel Arnström, Daniel Axehill, BnB-DAQP: A Mixed-Integer QP Solver for Embedded Applications, IFAC PAPERSONLINE, pp. 7420-7427, ELSEVIER (2023) https://doi.org/10.1016/j.ifacol.2023.10.622
Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson, On the validity of using the delta method for calculating the uncertainty of the predictions from an overparameterized model, Special issue: 22nd IFAC World Congress, Hideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita (eds.), IFAC papersonline, pp. 5843-5848, Elsevier (2023) https://doi.org/10.1016/j.ifacol.2023.10.077
Shamisa Shoja, Daniel Axehill, Exact Complexity Certification of Start Heuristics in Branch-and-Bound Methods for Mixed-Integer Linear Programming, 2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC, IEEE Conference on Decision and Control, pp. 2292-2299, IEEE (2023) https://doi.org/10.1109/CDC49753.2023.10384105
Shamisa Shoja, Daniel Axehill, Exact Complexity Certification of Suboptimal Branch-and-Bound Algorithms for Mixed-Integer Linear Programming, IFAC PAPERSONLINE, pp. 7428-7435, ELSEVIER (2023) https://doi.org/10.1016/j.ifacol.2023.10.624
Svante Gunnarsson, Urban Forsberg, Daniel Axehill, Reflections about reflections, Proceedings of the 19th CDIO International Conference, Proceedings of the International CDIO Conference, pp. 56-66, NTNU SEED (2023)
2022
Anja Hellander, Daniel Axehill, On a Traveling Salesman Problem with Dynamic Obstacles and Integrated Motion Planning, 2022 AMERICAN CONTROL CONFERENCE (ACC), 2022 American Control Conference (ACC), pp. 4965-4972, IEEE (2022) https://doi.org/10.23919/ACC53348.2022.9867369
Carl Hynén, Daniel Axehill, On Integrating POMDP and Scenario MPC for Planning under Uncertainty - with Applications to Highway Driving, 2022 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), IEEE Intelligent Vehicles Symposium, pp. 1152-1160, IEEE (2022) https://doi.org/10.1109/IV51971.2022.9827005
Daniel Arnström, Daniel Axehill, Lift, Partition, and Project, 2022 IEEE 61st Conference on Decision and Control (CDC), Proceedings of the IEEE Conference on Decision and Control, pp. 4381-4387, Institute of Electrical and Electronics Engineers (IEEE) (2022) https://doi.org/10.1109/CDC51059.2022.9993234
Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson, Detection of outliers in classification by using quantified uncertainty in neural networks, 25th International Conference of Information Fusion, IEEE (2022) https://doi.org/10.23919/FUSION49751.2022.9841376
Nordlöf Jonas, Gustaf Hendeby, Daniel Axehill, LiDAR-Landmark Modeling for Belief-Space Planning using Aerial Forest Data, Proceedings of the 25th International Conference on Information Fusion (FUSION), IEEE (2022) https://doi.org/10.23919/FUSION49751.2022.9841263
Shamisa Shoja, Daniel Arnström, Daniel Axehill, Exact Complexity Certification of a Standard Branch and Bound Method for Mixed-Integer Linear Programming, Proceedings of 2022 Conference on Decision and Control (CDC), IEEE Conference on Decision and Control, pp. 6298-6305, Institute of Electrical and Electronics Engineers (IEEE) (2022) https://doi.org/10.1109/CDC51059.2022.9992451
Shamisa Shoja, Daniel Arnström, Daniel Axehill, Overall Complexity Certification of a Standard Branch and Bound Method for Mixed-Integer Quadratic Programming, 2022 AMERICAN CONTROL CONFERENCE (ACC), pp. 4957-4964, IEEE, Atlanta, GA, USA (2022) https://doi.org/10.23919/ACC53348.2022.9867176
2021
Daniel Arnström, Daniel Axehill, Semi-Explicit Linear MPC Using a Warm-Started Active-Set QP Algorithm with Exact Complexity Guarantees, 2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), IEEE Conference on Decision and Control, pp. 2557-2562, IEEE (2021) https://doi.org/10.1109/CDC45484.2021.9683274
Daniel Arnström, Alberto Bemporad, Daniel Axehill, Complexity Certification of Proximal-Point Methods for Numerically Stable Quadratic Programming, 2021 AMERICAN CONTROL CONFERENCE (ACC), Proceedings of the American Control Conference, pp. 947-952, IEEE (2021) https://doi.org/10.23919/ACC50511.2021.9483329
Jonas Nordlöf, Gustaf Hendeby, Daniel Axehill, Improved Virtual Landmark Approximation for Belief-Space Planning, Proceedings of 2021 IEEE 24th International Conference on Information Fusion (FUSION), pp. 813-820, IEEE (2021) https://doi.org/10.23919/FUSION49465.2021.9626933
Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson, Modeling of the tire-road friction using neural networks including quantification of the prediction uncertainty, 2021 IEEE 24th International Conference on Information Fusion (FUSION), pp. 737-742, IEEE (2021) https://doi.org/10.23919/fusion49465.2021.9626974
2020
Daniel Arnström, Daniel Axehill, Exact Complexity Certification of an Early-Terminating Standard Primal Active-Set Method for Quadratic Programming, IFAC PAPERSONLINE, pp. 6509-6515, ELSEVIER (2020) https://doi.org/10.1016/j.ifacol.2020.12.1802
Kristoffer Bergman, Oskar Ljungqvist, Jonas Linder, Daniel Axehill, An Optimization-Based Motion Planner for Autonomous Maneuvering of Marine Vessels in Complex Environments, 2020 59th IEEE Conference on Decision and Control (CDC), IEEE Conference on Decision and Control, pp. 5283-5290, Institute of Electrical and Electronics Engineers (IEEE) (2020) https://doi.org/10.1109/CDC42340.2020.9303746
Kristoffer Bergman, Oskar Ljungqvist, Torkel Glad, Daniel Axehill, An Optimization-Based Receding Horizon Trajectory Planning Algorithm, IFAC-PapersOnLine, IFAC PAPERSONLINE, pp. 15550-15557, Elsevier (2020) https://doi.org/10.1016/j.ifacol.2020.12.2399
Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson, Asymptotic Prediction Error Variance for Feedforward Neural Networks, , IFAC-PapersOnLine, pp. 1108-1113, Elsevier (2020) https://doi.org/10.1016/j.ifacol.2020.12.1310
Nordlöf Jonas, Gustaf Hendeby, Daniel Axehill, Belief Space Planning using Landmark Density Information, Proceedings of the 23rd International Conference on Information Fusion (FUSION), IEEE (2020) https://doi.org/10.23919/FUSION45008.2020.9190434
Oskar Ljungqvist, Daniel Axehill, A predictive path-following controller for multi-steered articulated vehicles, IFAC PAPERSONLINE, pp. 15725-15732, ELSEVIER (2020) https://doi.org/10.1016/j.ifacol.2020.12.053
Oskar Ljungqvist, Daniel Axehill, Henrik Pettersson, On sensing-aware model predictive path-following control for a reversing general 2-trailer with a car-like tractor, 2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), IEEE International Conference on Robotics and Automation ICRA, pp. 8813-8819, IEEE (2020) https://doi.org/10.1109/ICRA40945.2020.9197346
Oskar Ljungqvist, Kristoffer Bergman, Daniel Axehill, Optimization-based motion planning for multi-steered articulated vehicles, IFAC PAPERSONLINE, pp. 15580-15587, ELSEVIER (2020) https://doi.org/10.1016/j.ifacol.2020.12.2403
Per Boström-Rost, Daniel Axehill, William Dale Blair, Gustaf Hendeby, Optimal Range and Beamwidth for Radar Tracking of Maneuvering Targets Using Nearly Constant Velocity Filters, Proceedings of 2020 IEEE Aerospace Conference, IEEE Aerospace Conference (2020) https://doi.org/10.1109/AERO47225.2020.9172558
2019
Daniel Arnström, Daniel Axehill, Exact Complexity Certification of a Standard Primal Active-Set Method for Quadratic Programming, 2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), IEEE Conference on Decision and Control, pp. 4317-4324, IEEE (2019) https://doi.org/10.1109/CDC40024.2019.9029370
Kristoffer Bergman, Oskar Ljungqvist, Daniel Axehill, Improved Optimization of Motion Primitives for Motion Planning in State Lattices, 2019 30TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV19), IEEE Intelligent Vehicles Symposium, pp. 2307-2314 (2019) https://doi.org/10.1109/IVS.2019.8813872
Per Boström-Rost, Daniel Axehill, Gustaf Hendeby, Informative Path Planning for Active Tracking of Agile Targets, Proceedings of 2019 IEEE Aerospace Conference, IEEE AEROSPACE CONFERENCE, pp. 1-11, Institute of Electrical and Electronics Engineers (IEEE) (2019) https://doi.org/10.1109/AERO.2019.8741840
Per Boström-Rost, Daniel Axehill, Gustaf Hendeby, Informative Path Planning in the Presence of Adversarial Observers, 2019 22th International Conference on Information Fusion (FUSION), Institute of Electrical and Electronics Engineers (IEEE) (2019) https://doi.org/10.23919/FUSION43075.2019.9011193
2018
Kristoffer Bergman, Daniel Axehill, Combining Homotopy Methods and Numerical Optimal Control to Solve Motion Planning Problems, Proceedings of the 29th IEEE Intelligent Vehicles Symposium, pp. 347-354, IEEE (2018) https://doi.org/10.1109/IVS.2018.8500644
Olov Andersson, Oskar Ljungqvist, Mattias Tiger, Daniel Axehill, Fredrik Heintz, Receding-Horizon Lattice-based Motion Planning with Dynamic Obstacle Avoidance, 2018 IEEE Conference on Decision and Control (CDC), Conference on Decision and Control (CDC), pp. 4467-4474, Institute of Electrical and Electronics Engineers (IEEE) (2018) https://doi.org/10.1109/CDC.2018.8618964
Oskar Ljungqvist, Daniel Axehill, Johan Löfberg, On stability for state-lattice trajectory tracking control, 2018 Annual American Control Conference (ACC), American Control Conference (ACC), pp. 5868-5875, IEEE (2018) https://doi.org/10.23919/ACC.2018.8430822
2017
Oskar Ljungqvist, Niclas Evestedt, Marcello Cirillo, Daniel Axehill, Olov Holmer, Lattice-based Motion Planning for a General 2-trailer system, 2017 28TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV 2017), IEEE Intelligent Vehicles Symposium, pp. 819-824, IEEE (2017) https://doi.org/10.1109/IVS.2017.7995817
2016
Isak Nielsen, Daniel Axehill, An O(log N) Parallel Algorithm for Newton Step Computations with Applications to Moving Horizon Estimation, Proceedings of the 2016 European Control Conference, pp. 1630-1636 (2016) https://doi.org/10.1109/ECC.2016.7810524
Isak Nielsen, Daniel Axehill, Reduced Memory Footprint in Multiparametric Quadratic Programming by Exploiting Low Rank Structure, 55th Conference on Decision and Control (CDC), 2016 IEEE, IEEE Conference on Decision and Control, pp. 3654-3661, Institute of Electrical and Electronics Engineers (IEEE) (2016) https://doi.org/10.1109/CDC.2016.7798819
Niclas Evestedt, Erik Ward, John Folkesson, Daniel Axehill, Interaction aware trajectory planning for merge scenarios in congested traffic situations, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), Intelligent Transportation Systems, pp. 465-472, Institute of Electrical and Electronics Engineers (IEEE) (2016) https://doi.org/10.1109/ITSC.2016.7795596
Niclas Evestedt, Oskar Ljungqvist, Daniel Axehill, Motion planning for a reversing general 2-trailer configuration using Closed-Loop RRT, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Intelligent Robots and Systems, pp. 3690-3697, Institute of Electrical and Electronics Engineers (IEEE) (2016) https://doi.org/10.1109/IROS.2016.7759544
Niclas Evestedt, Oskar Ljungqvist, Daniel Axehill, Path tracking and stabilization for a reversing general 2-trailer configuration using a cascaded control approach, Intelligent Vehicles Symposium (IV), 2016 IEEE, pp. 1156-1161, Institute of Electrical and Electronics Engineers (IEEE) (2016) https://doi.org/10.1109/IVS.2016.7535535
Oskar Ljungqvist, Daniel Axehill, Anders Helmersson, Path following control for a reversing general 2-trailer system, 2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC), IEEE Conference on Decision and Control, pp. 2455-2461, IEEE (2016) https://doi.org/10.1109/CDC.2016.7798630
2015
Martin Skoglund, Gustaf Hendeby, Daniel Axehill, Extended Kalman Filter Modifications Based on an Optimization View Point, 18th International Conference of Information Fusion, Institute of Electrical and Electronics Engineers (IEEE) (2015)
Niclas Evestedt, Daniel Axehill, Marco Trincavelli, Fredrik Gustafsson, Sampling Recovery for Closed Loop Rapidly Expanding Random Tree using Brake Profile Regeneration, Intelligent Vehicles Symposium (IV), 2015 IEEE, IEEE Intelligent Vehicles Symposium, pp. 101-106, IEEE (2015) https://doi.org/10.1109/IVS.2015.7225670
2014
Patrik Axelsson, Daniel Axehill, Torkel Glad, Mikael Norrlöf, Iterative Learning Control - From a Controllability Point of View, Proceedings of Reglermöte 2014 (2014)
2013
Isak Nielsen, Daniel Ankelhed, Daniel Axehill, Low-rank Modifications of Riccati Factorizations with Applications to Model Predictive Control, Proceedings of 52nd IEEE Conference on Decision and Control, pp. 3684-3690, IEEE conference proceedings (2013) https://doi.org/10.1109/CDC.2013.6760450
2012
Daniel Axehill, Anders Hansson, Towards Parallel Implementation of Hybrid MPC, Distributed decision making and control, Rolf Johansson and Anders Rantzer (ed.), Lecture Notes in Control and Information Sciences, pp. 313-338, Springer London (2012) https://doi.org/10.1007/978-1-4471-2265-4
2011
Daniel Axehill, Thomas Besselmann, Davide Raimondo, Manfred Morari, Suboptimal Explicit Hybrid MPC via Branch and Bound, Proceedings of the 18th IFAC World Congress, pp. 10281-10286 (2011) https://doi.org/10.3182/20110828-6-IT-1002.03389
Jan Siroky, Miroslav Simandl, Daniel Axehill, Ivo Puncochar, An Optimization Approach to Resolve the Competing Aims of Active Fault Detection and Control, Proceedings of the 50th IEEE Conference on Decision and Control, pp. 3712-3717 (2011) https://doi.org/10.1109/CDC.2011.6160869
2010
Daniel Axehill, Manfred Morari, Improved complexity analysis of branch and bound for hybrid MPC, Proceedings of the 49th IEEE Conference on Decision and Control (CDC), pp. 4216-4222 (2010) https://doi.org/10.1109/CDC.2010.5717242
Alexander Fuchs, Daniel Axehill, Manfred Morari, On the choice of the linear decision functions for point location in polytopic data sets - Application to Explicit MPC, Proceedings of the 49th IEEE Conference on Decision and Control (CDC), pp. 5283-5288 (2010) https://doi.org/10.1109/CDC.2010.5718203
2009
Martin Elfstadius, Daniel Gecer, Lars Nordström, Daniel Axehill, Method to detect and measure potential market power on electricity markets using the concept of monopolistic energy, Proceedings of the Power Systems Conference and Exposition, 2009, pp. 1-7, IEEE (2009) https://doi.org/10.1109/PSCE.2009.4840248
2008
Daniel Axehill, Anders Hansson, A Dual Gradient Projection Quadratic Programming Algorithm Tailored for Model Predictive Control, Proceedings of the 47th IEEE Conference on Decision and Control, pp. 3057-3064 (2008) https://doi.org/10.1109/CDC.2008.4738961
Daniel Axehill, Anders Hansson, A Dual Gradient Projection Quadratic Programming Algorithm Tailored for Model Predictive Control, Proceedings of Reglermöte 2008, pp. 202-209 (2008)
2007
Daniel Axehill, Anders Hansson, Lieven Vandenberghe, Relaxations Applicable to Mixed Integer Predictive Control – Comparisons and Efficient Computations, Proceedings of the 46th IEEE Conference on Decision and Control, pp. 4103-4109 (2007) https://doi.org/10.1109/CDC.2007.4434608
Daniel Axehill, Lieven Vandenberghe, Anders Hansson, On Relaxations Applicable to Model Predictive Control for Systems with Binary Control Signals, Proceedings of the 7th IFAC Symposium on Nonlinear Control Systems, LiTH-ISY-R, pp. 585-590, Curran Associates, Inc. (2007) https://doi.org/10.3182/20070822-3-ZA-2920.00096
2006
Daniel Axehill, Anders Hansson, A Mixed Integer Dual Quadratic Programming Algorithm Tailored for MPC, Proceedings of the 45th IEEE Conference on Decision and Control, pp. 5693-5698 (2006) https://doi.org/10.1109/CDC.2006.377215
Daniel Axehill, Anders Hansson, Mixed Integer Predictive Control Using a Tailored Mixed Integer Dual Quadratic Programming Algorithm, Proceedings of Reglermöte 2006 (2006)
2005
Daniel Axehill, Fredrik Gunnarsson, Anders Hansson, A Preprocessing Algorithm Applicable to the Multiuser Detection Problem, Proceedings of Radiovetenskap och Kommunikation 2005 (2005)
2004
Daniel Axehill, Anders Hansson, A Preprocessing Algorithm for MIQP Solvers with Applications to MPC, Proceedings of the 43rd IEEE Conference on Decision and Control, pp. 2497-2502 (2004) https://doi.org/10.1109/CDC.2004.1428790
Daniel Axehill, Anders Hansson, A Preprocessing Algorithm for MIQP Solvers with Applications to MPC, Proceeding of Reglermöte 2004 (2004)
Daniel Axehill, Johan Sjöberg, Kristian Lindqvist, Adaptive Cruise Control for Heavy Vehicles, Proceedings of Reglermöte 2004 (2004)
Book chapters
Daniel Axehill, Anders Hansson, Parallel implementation of hybrid MPC, Distributed Model Predictive Control Made Easy, José M. Maestre and Rudy R. Negenborn (ed.), Intelligent Systems, Control and Automation: Science and Engineering, pp. 375-392, Springer Netherlands (2014) https://doi.org/10.1007/978-94-007-7006-5_23
Reports
Isak Nielsen, Daniel Axehill, A Parallel Riccati Factorization Algorithm with Applications to Model Predictive Control, LiTH-ISY-R-3078, Linköping University Electronic Press, Linköping (2014)
Isak Nielsen, Daniel Axehill, An O(log N) Parallel Algorithm for Newton Step Computation in Model Predictive Control, LiTH-ISY-R-3073 (2014)
Daniel Axehill, Anders Hansson, A Dual Gradient Projection Quadratic Programming Algorithm Tailored for Mixed Integer Predictive Control, LiTH-ISY-R-2833, Linköping University Electronic Press, Linköping (2008)
Daniel Axehill, Anders Hansson, Fredrik Gunnarsson, A Low-Complexity High-Performance Preprocessing Algorithm for Multiuser Detection using Gold Sequences, LiTH-ISY-R-2840, Linköping University Electronic Press, Linköping (2008)
Daniel Axehill, Anders Hansson, Lieven Vandenberghe, Relaxations Applicable to Mixed Integer Predictive Control - Comparisons and Efficient Computations, LiTH-ISY-R-2839, Linköping University Electronic Press, Linköping (2008)
Daniel Axehill, Att handleda en uppgift utan facit, LiTH-ISY-R-2817, Linköping University Electronic Press, Linköping (2007)
Daniel Axehill, Anders Hansson, A Mixed Integer Dual Quadratic Programming Algorithm Tailored for MPC, LiTH-ISY-R-2761, Linköping University Electronic Press, Linköping (2007)
Daniel Axehill, Lieven Vandenberghe, Anders Hansson, On Relaxations Applicable to Model Predictive Control for Systems with Binary Control Signals, LiTH-ISY-R-2771, Linköping University Electronic Press, Linköping (2007)
Daniel Axehill, Fredrik Gunnarsson, Anders Hansson, A Preprocessing Algorithm Applicable to the Multiuser Detection Problem, LiTH-ISY-R-2716, Linköping University Electronic Press, Linköping (2005)
Daniel Axehill, Anders Hansson, A Preprocessing Algorithm for MIQP solvers with Applications to MPC, LiTH-ISY-R, 2607, Linköping University Electronic Press, Linköping (2004)
In compilation thesis
Patrik Axelsson, Daniel Axehill, Torkel Glad, Mikael Norrlöf, Controllability Aspects for Iterative Learning Control, Part of Sensor Fusion and Control Applied to Industrial Manipulators, Patrik Axelsson, Linköping Studies in Science and Technology. Dissertations 1585, Linköping University Electronic Press (2014)
PhD theses
Daniel Axehill, Integer Quadratic Programming for Control and Communication, Linköping Studies in Science and Technology. Dissertations 1158, Institutionen för systemteknik (2008)
Licentiate theses
Daniel Axehill, Applications of Integer Quadratic Programming in Control and Communication, Linköping Studies in Science and Technology. Thesis 1218, Institutionen för systemteknik (2005)