90 citations · 122 across the 29 of their papers we have counts for
36 papers
The Maximal Robust Positively Invariant Set for Linear Difference Inclusions
Kai Wang, Daniel Axehill
This article develops a systematic characterization and exact computational framework for the maximal robust positively invariant set of linear difference inclusions subject to har…
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…
Adaptive Lattice-based Motion Planning
Abhishek Dhar, Sarthak Mishra, Spandan Roy +1
This paper proposes an adaptive lattice-based motion planning solution to address the problem of generating feasible trajectories for systems, represented by a linearly parameteriz…
A High-Performant Multi-Parametric Quadratic Programming Solver
Daniel Arnström, Daniel Axehill
We propose a combinatorial method for computing explicit solutions to multi-parametric quadratic programs, which can be used to compute explicit control laws for linear model predi…
Extended target tracking utilizing machine-learning software -- with applications to animal classification
Magnus Malmström, Anton Kullberg, Isaac Skog +2
This paper considers the problem of detecting and tracking objects in a sequence of images. The problem is formulated in a filtering framework, using the output of object-detection…
Fusion framework and multimodality for the Laplacian approximation of Bayesian neural networks
Magnus Malmström, Isaac Skog, Daniel Axehill +1
This paper considers the problem of sequential fusion of predictions from neural networks (NN) and fusion of predictions from multiple NN. This fusion strategy increases the robust…