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An Extended Robust H∞ Filter for Nonlinear Constrained Uncertain Systems

Cited 44 time in Web of Science Cited 47 time in Scopus
Authors
Seo, Jaewon; Yu, Myeong-Jong; Park, Chan Gook; Lee, Jang Gyu
Issue Date
2006
Publisher
IEEE
Citation
IEEE Trans. Signal Processing, Vol. 54, pp. 4471-4475, Nov. 2006.
Keywords
Extended robust H-inf filternonlinear estimationnonlinear uncertain systemrobust estimation
Abstract
In this correspondence, 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-inf 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 provides a performance improvement.
ISSN
1053-587X
Language
English
URI
http://hdl.handle.net/10371/10150
DOI
https://doi.org/10.1109/TSP.2006.880308
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Mechanical Aerospace Engineering (기계항공공학부)Journal Papers (저널논문_기계항공공학부)
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