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
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;
Conference_Titel :
Control Conference (ECC), 2001 European
Conference_Location :
Porto
Print_ISBN :
978-3-9524173-6-2
