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Autores principales: Liu, Changwu, Shen, Yuan
Formato: Preprint
Publicado: 2025
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Acceso en línea:https://arxiv.org/abs/2507.18493
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author Liu, Changwu
Shen, Yuan
author_facet Liu, Changwu
Shen, Yuan
contents Linear observed systems on groups encode the geometry of a variety of practical state estimation problems. In this paper, we propose an observer framework for a class of linear observed systems by restricting a bi-invariant system on a Lie group to its normal subgroup. This structural property enables a system embedding of the original system into a linear time-varying system. An observer is constructed by first designing a Kalman-like observer for the embedded system and then reconstructing the group-valued state via optimization. Under an extrinsic observability rank condition, global exponential stability (GES) is achieved provided that one global optimum of the reconstruction optimization is found, reflecting the topological difficulties inherent to the non-Euclidean state space. Semi-global stability is guaranteed when input biases are jointly estimated. The theory is applied to the GES observer design for two-frame systems, capable of modeling a family of navigation problems. Simulations are provided to illustrate the implementation details.
format Preprint
id arxiv_https___arxiv_org_abs_2507_18493
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Global Observer Design for a Class of Linear Observed Systems on Groups
Liu, Changwu
Shen, Yuan
Systems and Control
Linear observed systems on groups encode the geometry of a variety of practical state estimation problems. In this paper, we propose an observer framework for a class of linear observed systems by restricting a bi-invariant system on a Lie group to its normal subgroup. This structural property enables a system embedding of the original system into a linear time-varying system. An observer is constructed by first designing a Kalman-like observer for the embedded system and then reconstructing the group-valued state via optimization. Under an extrinsic observability rank condition, global exponential stability (GES) is achieved provided that one global optimum of the reconstruction optimization is found, reflecting the topological difficulties inherent to the non-Euclidean state space. Semi-global stability is guaranteed when input biases are jointly estimated. The theory is applied to the GES observer design for two-frame systems, capable of modeling a family of navigation problems. Simulations are provided to illustrate the implementation details.
title Global Observer Design for a Class of Linear Observed Systems on Groups
topic Systems and Control
url https://arxiv.org/abs/2507.18493