activity
20222026
most citedBnB-DAQP: A Mixed-Integer QP Solver for Embedded Applications

2 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

math.OC2026

Reference Condensation for Model Predictive Control with Preview

Daniel Arnström

In model predictive control (MPC), preview information can greatly improve tracking. Including preview information does, however, increase the parameter dimension linearly with the…

math.OC2026★ 1 cited

On Real-Time Feasibility of High-Rate MPC using an Active-Set Method on Nano-Quadcopters

Joel Wikner, Daniel Arnström, Daniel Axehill

Deploying Model Predictive Control on nano-scale aerial platforms is challenging due to the severe computational limitations of onboard microcontrollers. This paper presents an exp…

math.OC2025★ 1 cited

Automatic Generation of Explicit Quadratic Programming Solvers

Maximilian Schaller, Daniel Arnström, Alberto Bemporad +1

We consider a family of convex quadratic programs in which the coefficients of the linear objective term and the righthand side of the constraints are affine functions of a paramet…

eess.SY2023★ 1 cited

Exact Worst-Case Execution-Time Analysis for Implicit Model Predictive Control

Daniel Arnström, David Broman, Daniel Axehill

We propose the first method that determines the exact worst-case execution time (WCET) for implicit linear model predictive control (MPC). Such WCET bounds are imperative when MPC…

math.OC2022★ 2 cited

BnB-DAQP: A Mixed-Integer QP Solver for Embedded Applications

Daniel Arnström, Daniel Axehill

We propose a mixed-integer quadratic programming (QP) solver that is suitable for use in embedded applications, for example, hybrid model predictive control (MPC). The solver is ba…