DocumentCode :
2348204
Title :
Fuzzy modeling with unstructured data uncertainty
Author :
Ding, Haishan ; Mao, Jianqin ; Wei, Kehui ; Yang, Li
Author_Institution :
Seventh Res. Div., Beijing Univ. of Aeronaut. & Astronaut., China
Volume :
2
fYear :
2005
fDate :
26-29 June 2005
Firstpage :
1126
Abstract :
Linear robust estimation with unstructured uncertainty is studied in this paper firstly. On the foundation of L. E. Ghaoui´s work, the robust estimation under the new constraint is formulated and the algorithm based on LMI is derived. In this base, combined with the fuzzy modeling method based on the tree-structured fuzzy inference system, a robust fuzzy modeling method is presented. By the numerical example, which comes of engineering, it is shown that the proposed method processes better robustness than the existed robust fuzzy tree (RFT) method.
Keywords :
fuzzy set theory; inference mechanisms; linear matrix inequalities; tree data structures; uncertainty handling; linear matrix inequalities; linear robust estimation; robust fuzzy modeling method; tree-structured fuzzy inference system; unstructured data uncertainty; Adaptive systems; Data engineering; Extraterrestrial measurements; Fuzzy systems; Inference algorithms; Matrix decomposition; Physics; Robustness; Training data; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2005. ICCA '05. International Conference on
Print_ISBN :
0-7803-9137-3
Type :
conf
DOI :
10.1109/ICCA.2005.1528290
Filename :
1528290
Link To Document :
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