Abstract
The reduced-order H <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</inf> filtering problem for nonlinear stochastic systems is studied in this paper. The considered system is subject to state dependent stochastic Gaussian white noise disturbance. By using a different design philosophy and the parallel distributed compensation technique, the fuzzy reduced-order H <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</inf> filter design procedure is transformed into the fuzzy static output feedback controller design issue. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed approach.
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