7 citations · 16 across the 10 of their papers we have counts for
16 papers · 1 filter
Lift, Partition, and Project: Parametric Complexity Certification of Active-Set QP Methods in the Presence of Numerical Errors
Daniel Arnström, Daniel Axehill
When Model Predictive Control (MPC) is used in real-time to control linear systems, quadratic programs (QPs) need to be solved within a limited time frame. Recently, several parame…
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…
A Dual Active-Set Solver for Embedded Quadratic Programming Using Recursive LDL' Updates
Daniel Arnström, Alberto Bemporad, Daniel Axehill
In this paper we present a dual active-set solver for quadratic programming which has properties suitable for use in embedded model predictive control applications. In particular,…
A COLREGs-Compliant Motion Planner for Autonomous Maneuvering of Marine Vessels in Complex Environments
Kristoffer Bergman, Oskar Ljungqvist, Jonas Linder +1
An enabling technology for future sea transports is safe and energy-efficient autonomous maritime navigation in narrow environments with other marine vessels present. This requires…
An Optimization-Based Motion Planner for Autonomous Maneuvering of Marine Vessels in Complex Environments
Kristoffer Bergman, Oskar Ljungqvist, Jonas Linder +1
The task of maneuvering ships in confined environments is a difficult task for a human operator. One major reason is due to the complex and slow dynamics of the ship which need to…
A Unifying Complexity Certification Framework for Active-Set Methods for Convex Quadratic Programming
Daniel Arnström, Daniel Axehill
In model predictive control (MPC) an optimization problem has to be solved at each time step, which in real-time applications makes it important to solve these optimization problem…