Title :
Robust H∞ FIR filtering with sampled-data measurements
Author :
Ryu, Hee-Seob ; Kwon, Byung-Moon ; Lee, Myung-Eui
Author_Institution :
Sch. of Electr. & Comput. Eng., Inha Univ., Inchon, South Korea
Abstract :
The problem of robust H∞ filter with FIR (finite impulse response) structure for linear continuous time-varying systems with sampled-data measurements is to be considered. It is assumed that the system is subject to real time-varying uncertainty which is represented by the state-space model having parameter uncertainty. The sampled-data system is represented by using piecewise continuous system with finite jumps. The robust H∞ FIR filter is derived by using the equivalence relationship between the FIR filter and the recursive filter, that would be guarantee a prescribed H∞ performance in the continuous-time context, irrespective of the parameter uncertainty and unknown initial states
Keywords :
FIR filters; filtering theory; linear systems; parameter estimation; state-space methods; time-varying systems; uncertain systems; FIR filtering; linear systems; parameter estimation; robust H∞ filter; sampled-data filtering; state space model; time-varying systems; uncertain systems; Digital filters; Filtering; Finite impulse response filter; Frequency; Nonlinear filters; Riccati equations; Robustness; Signal processing; Time varying systems; Uncertain systems;
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-6495-3
DOI :
10.1109/ACC.2001.946196