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Daniel Axehill

Professor

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)