Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/87941
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Type: Conference paper
Title: Central suboptimal H∞ filter design for nonlinear polynomial systems with multiplicative noise
Other Titles: Central suboptimal H-Infinity filter design for nonlinear polynomial systems with multiplicative noise
Author: Basin, M.
Shi, P.
Soto, P.
Citation: Proceedings of the ... IEEE Conference on Decision & Control / IEEE Control Systems Society. IEEE Conference on Decision & Control, 2010, pp.3168-3173
Publisher: IEEE
Publisher Place: USA
Issue Date: 2010
ISBN: 9781424477456
ISSN: 0743-1546
2576-2370
Conference Name: IEEE Conference on Decision and Control (CDC) (15 Dec 2010 - 17 Dec 2010 : Atlanta, GA, USA)
Statement of
Responsibility: 
Michael Basin, Peng Shi, Pedro Soto
Abstract: This paper presents the central finite-dimensional H-infinity filter for nonlinear polynomial systems with multiplicative noise, that is suboptimal for a given threshold gamma with respect to a modified Bolza-Meyer quadratic criterion including the attenuation control term with the opposite sign. In contrast to the previously obtained results, the paper reduces the original H-infinity filtering problem to the corresponding optimal H2 filtering problem, using the technique proposed. The paper presents the central suboptimal H-infinity filter for the general case of nonlinear polynomial systems with multiplicative noise, based on the optimal H2 filter given. The central suboptimal H-infinity filter is also derived in a closed finite-dimensional form for third (and less) degree polynomial system states. Numerical simulations are conducted to verify performance of the designed central suboptimal filter for nonlinear polynomial systems against the central suboptimal H-infinity filters available for polynomial systems with state-independent noise and the corresponding linearized system.
Rights: ©2010 IEEE
DOI: 10.1109/CDC.2010.5717019
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Electrical and Electronic Engineering publications

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