Reduced-order H∞ filter design for nonlinear systems with state dependent noise by using output feedback transformation approach

The reduced-order H ∞ 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 re...

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Bibliographic Details
Published inProceeding of the 11th World Congress on Intelligent Control and Automation pp. 3031 - 3034
Main Authors Kezhen Han, Jian Feng
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2014
Subjects
Discrete-time systems
Educational institutions
Filtering
H ∞ filter
Noise
Nonlinear systems
Output feedback
reduced-order
static output feedback
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DOI10.1109/WCICA.2014.7053212

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Summary:The reduced-order H ∞ 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 ∞ 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.
DOI:10.1109/WCICA.2014.7053212