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An Extended Robust H∞ Filter for Nonlinear Constrained Uncertain System

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Authors

Seo, Jaewon; Yu, Myeong-Jong; Park, Chan Gook; Lee, Jang Gyu

Issue Date
2003
Citation
International Conference on Control, Automation, and Systems, Oct. 22-25, Gyeonju.
Keywords
extended robust H∞ filternonlinear estimationrobust estimationnonlinear uncertain system
Abstract
In this paper, a robust filter is proposed to effectively estimate the system states in the case where system model
uncertainties as well as disturbances are present. The proposed robust filter is constructed based on the linear approximation
methods for a general nonlinear uncertain system with an integral quadratic constraint. We also derive the important characteristic
of the proposed filter, a modified H∞ performance index. Analysis results show that the proposed filter has robustness against
disturbances, such as process and measurement noises, and against parameter uncertainties. Simulation results show that the
proposed filter effectively improves the performance.
Language
English
URI
https://hdl.handle.net/10371/10179
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