Globally Exponentially Convergent Continuous Observers for Velocity Bias and State for Invariant Kinematic Systems on Matrix Lie Groups

• 成果类型: Article
• 署名作者: Chang, Dong Eui
• 署名单位: Korea Advanced Institute of Science & Technology (KAIST)
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2020.3022481
• 发表日期: 2021
• 页码: 3363-3369
• 关键词: Observers; kinematics; Velocity measurement; Algebra; Noise measurement; trajectory; estimation; Lie group; observer; velocity bias

摘要

In this article globally exponentially convergent continuous observers for invariant kinematic systems on finite-dimensional matrix Lie groups has been proposed. Such an observer estimates, from measurements of landmarks, vectors, and biased velocity, both the system state and the unknown constant bias in velocity measurement, where the state belongs to the state-space Lie group and the velocity to the Lie algebra of the Lie group. The main technique is to embed a given system defined on a matrix Lie group into Euclidean space and build observers in the Euclidean space. The theory is illustrated with the special Euclidean group in three dimensions, and it is shown that the observer works well even in the presence of measurement noise.