Robust filtering for uncertain nonlinearly parameterized plants

Authors:
Hoang Tuan;P. Apkarian;T.Q. Nguyen
Affiliations:
Dept. of Electr. & Comput. Eng., Toyota Technol. Inst., Nagoya, Japan;-;-
Venue:
IEEE Transactions on Signal Processing
Year:
2003

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Abstract

We address the robust filtering problem for a wide class of systems whose state-space data assume a very general nonlinear dependence in the uncertain parameters. Our resolution methods rely on new linear matrix inequality characterizations of H2 and H∞ performances, which, in conjunction with suitable linearization transformations of the variables, give rise to practical and computationally tractable formulations for the robust filtering problem.