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Robust H filtering for continuous-time linear systems with norm-bounded nonlinear uncertainties

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2 Author(s)
Filho, M.R. ; UFES, Vitoria, Brazil ; Munaro, C.J.

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

Published in:

Control Applications, 2001. (CCA '01). Proceedings of the 2001 IEEE International Conference on

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