Publications

2026

  1. preprint
    DR-DAQP: A hybrid operator splitting and active-set solver for affine variational inequalities
    D. Arnström, E. Benenati, and G. Belgioioso
    arXiv preprint arXiv:2604.02531, 2026
  2. SCL
    Efficiently computing the cyclic output-to-output gain
    D. Arnström, and A. Teixeira
    Systems & Control Letters, 2026
  3. preprint
  4. L4DC2026
    Warm-starting active-set solvers using graph neural networks
    E. Schmidtobreick, D. Arnström, P. Häusner, and J. Sjölund
    In 8th Annual Learning for Dynamics & Control Conference, 2026
  5. ACC2026
    Peak bounds for the estimation error under sensor attacks
    A. Stafström, D. Arnström, A. Miksits, and D. Umsonst
    In 2026 American Control Conference (ACC), 2026

2025

  1. preprint
  2. preprint
    Prioritized constraints in optimization-based control
    D. Arnström, and G. Garofalo
    arXiv preprint arXiv:2512.18458, 2025
  3. preprint
    Automatic Generation of Explicit Quadratic Programming Solvers
    M. Schaller, D. Arnström, A. Bemporad, and S. Boyd
    arXiv preprint arXiv:2506.11513, 2025
  4. L4DC2025
    Data-driven and stealthy deactivation of safety filters
    D. Arnström, and A. Teixeira
    In 7th AnnuaLearning for Dynamics & Control Conference, 2025
    Finalist for best paper award

2024

  1. CDC2024
  2. ECC2024
    Stealthy deactivation of safety filters
    D. Arnström, and A. Teixeira
    In 2024 European Control Conference (ECC), 2024
  3. TAC
    Exact worst-case execution-time analysis for implicit model predictive control
    D. Arnström, D. Broman, and D. Axehill
    IEEE Transactions on Automatic Control, 2024

2023

  1. PhD
    Real-time certified MPC: reliable active-set QP solvers
    D. Arnström
    Doctoral Thesis, Linköping University, 2023
  2. IFAC 2023
    BnB-DAQP: a mixed-integer QP solver for embedded applications
    D. Arnström, and D. Axehill
    In 22nd IFAC World Congress, 2023
    Awarded the Young Author Prize

2022

  1. CDC2022
  2. CDC2022
  3. ACC2022
  4. L-CSS
  5. TAC
  6. TAC

2021

  1. CDC2021
    Semi-explicit linear MPC using a warm-started active-set QP algorithm with exact complexity gurantees
    D. Arnström, and D. Axehill
    In IEEE 60th Conference on Decision and Control (CDC), 2021
  2. Lic
    On complexity certification of active-set QP methods with applications to linear MPC
    D. Arnström
    Licentiate Thesis, Linköping University, 2021

2020

  1. L-CSS ACC2021
  2. L-CSS CDC2020
  3. IFAC2020

2019

  1. CDC2019
    Exact complexity certification of a standard primal active-set method for quadratic programming
    D. Arnström, and D. Axehill
    In 2019 IEEE 58th Conference on Decision and Control (CDC), 2019

2018

  1. M.Sc
    State estimation for truck and trailer systems using deep learning
    D. Arnström
    Master’s Thesis, Linköping University, 2018