@inproceedings{feb9fb359c8f4e9e9fd926344572f6f7,
title = "Global Minimum Energy State Estimation for Embedded Nonlinear Systems with Symmetry",
abstract = "Choosing a nonlinear state estimator for an application often involves a trade-off between local optimality (such as provided by an extended Kalman filter) and (almost-/semi-) global asymptotic stability (such as provided by a constructive observer design based on Lyapunov principles). This paper proposes a filter design methodology that is both global and optimal for a class of nonlinear systems. In particular, systems for which there is an embedding of the state-manifold into Euclidean space for which the measurement function is linear in the embedding space and for which there is a synchronous error construction. A novel observer is derived using the minimum energy filter design paradigm and exploiting the embedding coordinates to solve for the globally optimal solution exactly. The observer is demonstrated through an application to the problem of unit quaternion attitude estimation, by embedding the 3dimensional nonlinear system into a 4 -dimensional Euclidean space. Simulation results demonstrate that the state estimate remains optimal for all time and converges even with a very large initial error.",
author = "{Van Goor}, Pieter and Robert Mahony",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 63rd IEEE Conference on Decision and Control, CDC 2024 ; Conference date: 16-12-2024 Through 19-12-2024",
year = "2024",
doi = "10.1109/CDC56724.2024.10886044",
language = "English",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "8710--8716",
booktitle = "2024 IEEE 63rd Conference on Decision and Control, CDC 2024",
address = "United States",
}