Globally exponentially convergent observer for systems evolving on matrix Lie groups
Soham Shanbhag, Dong Eui Chang
TL;DR
This work tackles state estimation for systems evolving on matrix Lie groups when velocity bounds are unknown. It introduces a globally exponentially convergent observer designed in ambient Euclidean space, with a Lyapunov-based proof ensuring convergence of both the state estimate and velocity bias. The approach is demonstrated on SE(3) and compared against a literature observer, showing global convergence and robust bias estimation even under noise and bound-unknown conditions. The method enables robust, continuous state estimation for rigid-body and more general Lie-group dynamics without requiring prior bounds on velocity.
Abstract
We propose a globally exponentially convergent observer for the dynamical system evolving on matrix Lie groups with bounded velocity with unknown bound. We design the observer in the ambient Euclidean space and show exponential convergence of the observer to the state of the system. We show the convergence with an example of a rigid body rotation and translation system on the special Euclidean group. We compare the proposed observer with an observer present in the literature.
