A preprocessing algorithm for MIQP solvers with applications to MPC. - Daniel Axehill; Anders Hansson (CDC, 2004)

A Mixed Integer Dual Quadratic Programming Algorithm Tailored for MPC. - Daniel Axehill; Anders Hansson (CDC, 2006)

Relaxations applicable to mixed integer predictive control comparisons and efficient computations. - Daniel Axehill; Anders Hansson; Lieven Vandenberghe (CDC, 2007)

A dual gradient projection quadratic programming algorithm tailored for model predictive control. - Daniel Axehill; Anders Hansson (CDC, 2008)

A Low-Complexity High-Performance Preprocessing Algorithm for Multiuser Detection Using Gold Sequences. - Daniel Axehill; Fredrik Gunnarsson; Anders Hansson (IEEE Trans. Signal Process., 2008)

Integer Quadratic Programming for Control and Communication. - Daniel Axehill (2008)

Improved complexity analysis of branch and bound for hybrid MPC. - Daniel Axehill; Manfred Morari (CDC, 2010)

On the choice of the linear decision functions for point location in polytopic data sets - Application to Explicit MPC. - Alexander N. Fuchs; Daniel Axehill; Manfred Morari (CDC, 2010)

Convex relaxations for mixed integer predictive control. - Daniel Axehill; Lieven Vandenberghe; Anders Hansson (Autom., 2010)

An optimization approach to resolve the competing aims of active fault detection and control. - Jan Siroky; Miroslav Simandl; Daniel Axehill; Ivo Puncochár (CDC/ECC, 2011)

An alternative use of the Riccati recursion for efficient optimization. - Daniel Axehill; Manfred Morari (Syst. Control. Lett., 2012)

Low-rank modifications of Riccati factorizations with applications to Model Predictive Control. - Isak Nielsen; Daniel Ankelhed; Daniel Axehill (CDC, 2013)

A parametric branch and bound approach to suboptimal explicit hybrid MPC. - Daniel Axehill; Thomas Besselmann; Davide Martino Raimondo; Manfred Morari (Autom., 2014)

A parallel structure exploiting factorization algorithm with applications to Model Predictive Control. - Isak Nielsen; Daniel Axehill (CDC, 2015)

Extended Kalman filter modifications based on an optimization view point. - Martin A. Skoglund; Gustaf Hendeby; Daniel Axehill (FUSION, 2015)

Sampling recovery for closed loop rapidly expanding random tree using brake profile regeneration. - Niclas Evestedt; Daniel Axehill; Marco Trincavelli; Fredrik Gustafsson (Intelligent Vehicles Symposium, 2015)

Controlling the level of sparsity in MPC. - Daniel Axehill (Syst. Control. Lett., 2015)

Lifted Evaluation of mp-MIQP Solutions. - Alexander Fuchs 008; Daniel Axehill; Manfred Morari (IEEE Trans. Autom. Control., 2015)

Path following control for a reversing general 2-trailer system. - Oskar Ljungqvist; Daniel Axehill; Anders Helmersson (CDC, 2016)

Reduced memory footprint in multiparametric quadratic programming by exploiting low rank structure. - Isak Nielsen; Daniel Axehill (CDC, 2016)

An O (log N) parallel algorithm for newton step computations with applications to moving horizon estimation. - Isak Nielsen; Daniel Axehill (ECC, 2016)

Motion planning for a reversing general 2-trailer configuration using Closed-Loop RRT. - Niclas Evestedt; Oskar Ljungqvist; Daniel Axehill (IROS, 2016)

Interaction aware trajectory planning for merge scenarios in congested traffic situations. - Niclas Evestedt; Erik Ward; John Folkesson; Daniel Axehill (ITSC, 2016)

Path tracking and stabilization for a reversing general 2-trailer configuration using a cascaded control approach. - Niclas Evestedt; Oskar Ljungqvist; Daniel Axehill (Intelligent Vehicles Symposium, 2016)

Lattice-based motion planning for a general 2-trailer system. - Oskar Ljungqvist; Niclas Evestedt; Marcello Cirillo; Daniel Axehill; Olov Holmer (Intelligent Vehicles Symposium, 2017)

Probabilistic Model for Interaction Aware Planning in Merge Scenarios. - Erik Ward; Niclas Evestedt; Daniel Axehill; John Folkesson (IEEE Trans. Intell. Veh., 2017)

On stability for state-lattice trajectory tracking control. - Oskar Ljungqvist; Daniel Axehill; Johan Löfberg (ACC, 2018)

Receding-Horizon Lattice-Based Motion Planning with Dynamic Obstacle Avoidance. - Olov Andersson; Oskar Ljungqvist; Mattias Tiger; Daniel Axehill; Fredrik Heintz (CDC, 2018)

Combining Homotopy Methods and Numerical Optimal Control to Solve Motion Planning Problems. - Kristoffer Bergman; Daniel Axehill (Intelligent Vehicles Symposium, 2018)

On Global Optimization for Informative Path Planning. - Per Boström-Rost; Daniel Axehill; Gustaf Hendeby (IEEE Control. Syst. Lett., 2018)

Low-Rank Modifications of Riccati Factorizations for Model Predictive Control. - Isak Nielsen; Daniel Axehill (IEEE Trans. Autom. Control., 2018)

Exact Complexity Certification of a Standard Primal Active-Set Method for Quadratic Programming. - Daniel Arnström; Daniel Axehill (CDC, 2019)

Informative Path Planning in the Presence of Adversarial Observers. - Per Boström-Rost; Daniel Axehill; Gustaf Hendeby (FUSION, 2019)

Improved Optimization of Motion Primitives for Motion Planning in State Lattices. - Kristoffer Bergman; Oskar Ljungqvist; Daniel Axehill (IV, 2019)

A predictive path-following controller for multi-steered articulated vehicles. - Oskar Ljungqvist; Daniel Axehill (CoRR, 2019)

Optimization-based motion planning for multi-steered articulated vehicles. - Oskar Ljungqvist; Kristoffer Bergman; Daniel Axehill (CoRR, 2019)

A path planning and path-following control framework for a general 2-trailer with a car-like tractor. - Oskar Ljungqvist; Niclas Evestedt; Daniel Axehill; Marcello Cirillo; Henrik Pettersson (J. Field Robotics, 2019)

Direct Parallel Computations of Second-Order Search Directions for Model Predictive Control. - Isak Nielsen; Daniel Axehill (IEEE Trans. Autom. Control., 2019)

An Optimization-Based Motion Planner for Autonomous Maneuvering of Marine Vessels in Complex Environments. - Kristoffer Bergman; Oskar Ljungqvist; Jonas Linder; Daniel Axehill (CDC, 2020)

Belief Space Planning using Landmark Density Information. - Jonas Nordlöf; Gustaf Hendeby; Daniel Axehill (FUSION, 2020)

On sensing-aware model predictive path-following control for a reversing general 2-trailer with a car-like tractor. - Oskar Ljungqvist; Daniel Axehill; Henrik Pettersson (ICRA, 2020)

Estimation-aware model predictive path-following control for a general 2-trailer with a car-like tractor. - Oskar Ljungqvist; Daniel Axehill; Henrik Pettersson; Johan Löfberg (CoRR, 2020)

Exact Complexity Certification of a Nonnegative Least-Squares Method for Quadratic Programming. - Daniel Arnström; Alberto Bemporad; Daniel Axehill (IEEE Control. Syst. Lett., 2020)

Semi-Explicit Linear MPC Using a Warm-Started Active-Set QP Algorithm with Exact Complexity Guarantees. - Daniel Arnström; Daniel Axehill (CDC, 2021)

Modeling of the tire-road friction using neural networks including quantification of the prediction uncertainty. - Magnus Malmström; Isaac Skog; Daniel Axehill; Fredrik Gustafsson (FUSION, 2021)

Improved Virtual Landmark Approximation for Belief-Space Planning. - Jonas Nordlöf; Gustaf Hendeby; Daniel Axehill (FUSION, 2021)

An Efficient Dual Active-Set Solver for Embedded Model Predictive Control. - Daniel Arnström; Daniel Axehill (CoRR, 2021)

Complexity Certification of Proximal-Point Methods for Numerically Stable Quadratic Programming. - Daniel Arnström; Alberto Bemporad; Daniel Axehill (IEEE Control. Syst. Lett., 2021)

Sensor Management for Search and Track Using the Poisson Multi-Bernoulli Mixture Filter. - Per Boström-Rost; Daniel Axehill; Gustaf Hendeby (IEEE Trans. Aerosp. Electron. Syst., 2021)

Improved Path Planning by Tightly Combining Lattice-Based Path Planning and Optimal Control. - Kristoffer Bergman; Oskar Ljungqvist; Daniel Axehill (IEEE Trans. Intell. Veh., 2021)

On a Traveling Salesman Problem with Dynamic Obstacles and Integrated Motion Planning. - Anja Hellander; Daniel Axehill (ACC, 2022)

Overall Complexity Certification of a Standard Branch and Bound Method for Mixed-Integer Quadratic Programming. - Shamisa Shoja; Daniel Arnström; Daniel Axehill (ACC, 2022)

Lift, Partition, and Project: Parametric Complexity Certification of Active-Set QP Methods in the Presence of Numerical Errors. - Daniel Arnström; Daniel Axehill (CDC, 2022)

Exact Complexity Certification of a Standard Branch and Bound Method for Mixed-Integer Linear Programming. - Shamisa Shoja; Daniel Arnström; Daniel Axehill (CDC, 2022)

Detection of outliers in classification by using quantified uncertainty in neural networks. - Magnus Malmström; Isaac Skog; Daniel Axehill; Fredrik Gustafsson (FUSION, 2022)

LiDAR-Landmark Modeling for Belief-Space Planning using Aerial Forest Data. - Jonas Nordlöf; Gustaf Hendeby; Daniel Axehill (FUSION, 2022)

On Integrating POMDP and Scenario MPC for Planning under Uncertainty - with Applications to Highway Driving. - Carl Hynén Ulfsjöö; Daniel Axehill (IV, 2022)

Robust Lattice-based Motion Planning. - Abhishek Dhar; Carl Hynén; Johan Löfberg; Daniel Axehill (CoRR, 2022)

A Linear Programming Method Based on Proximal-Point Iterations With Applications to Multi-Parametric Programming. - Daniel Arnström; Alberto Bemporad; Daniel Axehill (IEEE Control. Syst. Lett., 2022)

A Unifying Complexity Certification Framework for Active-Set Methods for Convex Quadratic Programming. - Daniel Arnström; Daniel Axehill (IEEE Trans. Autom. Control., 2022)

A Dual Active-Set Solver for Embedded Quadratic Programming Using Recursive LDL$^{T}$ Updates. - Daniel Arnström; Alberto Bemporad; Daniel Axehill (IEEE Trans. Autom. Control., 2022)

PMBM Filter With Partially Grid-Based Birth Model With Applications in Sensor Management. - Per Boström-Rost; Daniel Axehill; Gustaf Hendeby (IEEE Trans. Aerosp. Electron. Syst., 2022)

On Integrated Optimal Task and Motion Planning for a Tractor-Trailer Rearrangement Problem. - Anja Hellander; Kristoffer Bergman; Daniel Axehill (CDC, 2023)

Exact Complexity Certification of Start Heuristics in Branch-and-Bound Methods for Mixed-Integer Linear Programming. - Shamisa Shoja; Daniel Axehill (CDC, 2023)

On the validity of using the delta method for calculating the uncertainty of the predictions from an overparameterized model. - Magnus Malmström; Isaac Skog; Daniel Axehill; Fredrik Gustafsson (CoRR, 2023)

A High-Performant Multi-Parametric Quadratic Programming Solver. - Daniel Arnström; Daniel Axehill (CDC, 2024)

On Methods for Improved Efficiency of Optimal Task and Motion Planning. - Anja Hellander; Daniel Axehill (CDC, 2024)

Improved Task and Motion Planning for Rearrangement Problems using Optimal Control*. - Anja Hellander; Kristoffer Bergman; Daniel Axehill (IV, 2024)

Uncertainty quantification in neural network classifiers - A local linear approach. - Magnus Malmström; Isaac Skog; Daniel Axehill; Fredrik Gustafsson (Autom., 2024)

Extended Target Tracking Utilizing Machine-Learning Software-With Applications to Animal Classification. - Magnus Malmström; Anton Kullberg; Isaac Skog; Daniel Axehill; Fredrik Gustafsson (IEEE Signal Process. Lett., 2024)

Disturbance-Parametrized Robust Lattice-Based Motion Planning. - Abhishek Dhar; Carl Hynén Ulfsjöö; Johan Löfberg; Daniel Axehill (IEEE Trans. Intell. Veh., 2024)

Exact Worst-Case Execution-Time Analysis for Implicit Model Predictive Control. - Daniel Arnström; David Broman; Daniel Axehill (IEEE Trans. Autom. Control., 2024)

A Unifying Complexity-Certification Framework for Branch-and-Bound Algorithms for Mixed-Integer Linear and Quadratic Programming. - Shamisa Shoja; Daniel Arnström; Daniel Axehill (CoRR, 2025)

Parallel Domain-Decomposition Algorithms for Complexity Certification of Branch-and-Bound Algorithms for Mixed-Integer Linear and Quadratic Programming. - Shamisa Shoja; Daniel Arnström; Daniel Axehill (CoRR, 2025)