Title :
Robust H∞ filtering for continuous-time linear systems with norm-bounded nonlinear uncertainties
Author :
Filho, Moacir Rosado ; Munaro, Celso José
Author_Institution :
UFES, Vitoria, Brazil
Abstract :
This paper studies the problem of robust H∞ filtering of a class of continuous-time linear systems subject to parameter uncertainty. The class of uncertain systems is described by a state-space model with linear nominal parts and norm-bounded nonlinear uncertainties in the state equation. The proposed problem is the design of an asymptotically stable linear filter such that the L2-induced gain from the noise signals to the estimation error is kept within a prescribed bound for all admissible parameter uncertainties
Keywords :
H∞ optimisation; filtering theory; linear systems; nonlinear filters; stability; state-space methods; uncertain systems; L2-induced gain; asymptotically stable linear filter; continuous-time linear systems; estimation error; linear nominal parts; noise signals; norm-bounded nonlinear uncertainties; parameter uncertainties; parameter uncertainty; robust H∞ filtering; state equation; state-space model; Filtering; Linear systems; Nonlinear equations; Nonlinear filters; Riccati equations; Robustness; State estimation; Symmetric matrices; Uncertain systems; Uncertainty;
Conference_Titel :
Control Applications, 2001. (CCA '01). Proceedings of the 2001 IEEE International Conference on
Conference_Location :
Mexico City
Print_ISBN :
0-7803-6733-2
DOI :
10.1109/CCA.2001.973947
