DocumentCode :
424264
Title :
Robust H filtering for linear systems with parameter uncertainty
Author :
Cui, Ping ; Weng, Zheng-Xin ; Xie, Jianying
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., China
Volume :
2
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
717
Abstract :
In this paper, the robust H filtering problem for linear systems with parameter uncertainty is reconsidered. First, based on bounded real lemma, a robust H filter is designed such that the induced L2 norm of the transfer function from the noise signals to the estimation error is guaranteed to be within a prescribed bound for all the admissible uncertainties. Then, a constructive proof for the existence of a robust H filter is developed. Along the line of this paper, many new results on robust control and filtering can be derived easily.
Keywords :
H control; filtering theory; linear systems; transfer functions; estimation error; linear systems; parameter uncertainty; robust H filtering; transfer function; Estimation error; Filtering; Linear systems; Noise robustness; Nonlinear filters; Robust control; Signal design; Transfer functions; Uncertain systems; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
Type :
conf
DOI :
10.1109/ICMLC.2004.1382278
Filename :
1382278
Link To Document :
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