Search Results for author: Anders Robertsson

Found 6 papers, 2 papers with code

A Robust Observer with Gyroscopic Bias Correction for Rotational Dynamics

no code implementations5 Apr 2023 Erjen Lefeber, Marcus Greiff, Anders Robertsson

We propose an observer for rotational dynamics subject to directional and gyroscopic measurements, which simultaneously estimates the gyroscopic biases and attitude rates.

Cooperative constrained motion coordination of networked heterogeneous vehicles

no code implementations17 Jan 2022 Zhiyong Sun, Marcus Greiff, Anders Robertsson, Rolf Johansson, Brian D. O. Anderson

We develop a general framework involving differential-algebraic equations and viability theory to determine coordination feasibility for a coordinated motion control under heterogeneous vehicle dynamics and different types of coordination task constraints.

Quadrotor Control on $SU(2)\times R^3$ with SLAM Integration

no code implementations3 Oct 2021 Marcus Greiff, Patrik Persson, Zhiyong Sun, Karl Åström, Anders Robertsson

We present a trajectory tracking controller for a quadrotor unmanned aerial vehicle (UAV) configured on $SU(2)\times R^3$, and relate this result to a family of geometric tracking controllers on $SO(3)\times R^3$.

Simultaneous Localization and Mapping

Distributed adaptive stabilization

no code implementations28 May 2021 Zhiyong Sun, Anders Rantzer, Zhongkui Li, Anders Robertsson

In this paper we consider distributed adaptive stabilization for uncertain multivariable linear systems with a time-varying diagonal matrix gain.

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

1 code implementation26 Jun 2018 Fredrik Bagge Carlson, Rolf Johansson, Anders Robertsson

This work introduces the concept of tangent space regularization for neural-network models of dynamical systems.

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

1 code implementation27 Feb 2018 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 based on convex optimization.

Friction

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