Globally exponentially convergent observer for systems evolving on matrix Lie groups

IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Mathematics and Computers in Simulation Pub Date : 2025-06-01 Epub Date: 2025-01-23 DOI:10.1016/j.matcom.2025.01.013
Soham Shanbhag, Dong Eui Chang
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Abstract

The estimate of a system state, arrived at using measurements, is often used in design of state controllers in robotics. These measurements are often biased and contain noise. Many such systems usually evolve on matrix Lie groups. In this paper, we propose a globally exponentially convergent observer for systems evolving on matrix Lie groups with bounded velocity. The design of observers on the Lie group prohibits continuous globally convergent observers, which we sidestep by designing the observer in the ambient Euclidean space of the group and show exponential convergence of the observer to the state of the system. The performance of the observer is shown using an example of the rigid body rotation and translation system evolving on the special Euclidean group. We also compare the proposed observer with an observer present in the literature and show the improvements afforded by our observer.
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矩阵李群上系统的全局指数收敛观测器
系统状态的估计,通过测量得到,经常用于机器人状态控制器的设计。这些测量结果往往是有偏差的,并且含有噪声。许多这样的系统通常在矩阵李群上演化。对于速度有界的矩阵李群系统,我们提出了一个全局指数收敛的观测器。李群上观测器的设计禁止了连续全局收敛的观测器,我们通过在群的环境欧几里德空间中设计观测器来规避这一问题,并表现出观测器对系统状态的指数收敛性。以刚体旋转平移系统在特殊欧几里得群上的演化为例,说明了观测器的性能。我们还将提出的观察者与文献中存在的观察者进行了比较,并展示了我们的观察者所提供的改进。
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来源期刊
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation 数学-计算机:跨学科应用
CiteScore
8.90
自引率
4.30%
发文量
335
审稿时长
54 days
期刊介绍: The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles. Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO. Topics covered by the journal include mathematical tools in: •The foundations of systems modelling •Numerical analysis and the development of algorithms for simulation They also include considerations about computer hardware for simulation and about special software and compilers. The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research. The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.
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