DocumentCode
697050
Title
Robust H∞ FIR sampled-data filter for uncertain time-varying systems with unknown nonlinearity
Author
Lee, M.E. ; Ryu, H.S. ; Kwon, O.K.
Author_Institution
Dept. of Inf. & Comput. Eng., Korea Univ. of Technol. & Educ., Chonan, South Korea
fYear
2001
fDate
4-7 Sept. 2001
Firstpage
307
Lastpage
312
Abstract
The robust linear H∞ FIR filter, which guarantees a prescribed H∞ performance, is designed for continuous time-varying systems subject to unknown initial state, real norm-bounded parameter uncertainty and unknown cone-bounded nonlinearity. The infinite horizon filtering for time-varying systems is investigated in terms of two Riccati equations by the finite moving horizon.
Keywords
H∞ control; Riccati equations; control nonlinearities; predictive control; robust control; sampled data filters; time-varying systems; uncertain systems; Riccati equation; continuous time-varying system; infinite horizon filtering; robust H∞ FIR sampled-data filter; uncertain time-varying system; unknown nonlinearity; Estimation error; Finite impulse response filters; Measurement uncertainty; Noise measurement; Robustness; Time-varying systems; Uncertain systems; H∞ FIR filter; cone-bounded nonlinearity; robustness; sampled-data measurement; time-varying systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 2001 European
Conference_Location
Porto
Print_ISBN
978-3-9524173-6-2
Type
conf
Filename
7075924
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