activity
20182020
most citedMonteCarloMeasurements.jl: Nonlinear Propagation of Arbitrary Multivariate Distributions by means of Method Overloading

6 citations · 10 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ML2020★ 1 cited

New Metrics Between Rational Spectra and their Connection to Optimal Transport

Fredrik Bagge Carlson, Mandar Chitre

We propose a series of metrics between pairs of signals, linear systems or rational spectra, based on optimal transport and linear-systems theory. The metrics operate on the locati…

cs.MS2020★ 6 cited

MonteCarloMeasurements.jl: Nonlinear Propagation of Arbitrary Multivariate Distributions by means of Method Overloading

Fredrik Bagge Carlson

This manuscript outlines a software package that facilitates working with probability distributions by means of Monte-Carlo methods, in a way that allows for propagation of multiva…

cs.LG2019★ 1 cited

Machine Learning and System Identification for Estimation in Physical Systems

Fredrik Bagge Carlson

In this thesis, we draw inspiration from both classical system identification and modern machine learning in order to solve estimation problems for real-world, physical systems. Th…

cs.RO2019★ 1 cited

On the Calibration of Force/Torque Sensors in Robotics

Fredrik Bagge Carlson

We present and analyze methods for the kinematic and kinetostatic calibration of, typically, wrist mounted force/torque sensors in robotics. The algorithms are based on matrix fact…

cs.LG2018★ 1 cited

Tangent-Space Regularization for Neural-Network Models of Dynamical Systems

Fredrik Bagge Carlson, Rolf Johansson, Anders Robertsson

This work introduces the concept of tangent space regularization for neural-network models of dynamical systems. The tangent space to the dynamics function of many physical systems…

eess.SY2018

Identification of LTV Dynamical Models with Smooth or Discontinuous Time Evolution by means of Convex Optimization

Fredrik Bagge Carlson, Anders Robertsson, Rolf Johansson

We establish a connection between trend filtering and system identification which results in a family of new identification methods for linear, time-varying (LTV) dynamical models…