DocumentCode :
702030
Title :
On reduced-order H filtering for nonlinear systems with sampled measurements
Author :
Li, Yen-Fang ; Yung, Chee-Fai ; Sheu, Hsin-Teng
Author_Institution :
Department of Electrical Engineering, Ming Hsin University of Science and Technology, Hsin-Chu, Taiwan
fYear :
2003
fDate :
1-4 Sept. 2003
Firstpage :
1351
Lastpage :
1356
Abstract :
This paper deals with the reduced-order H filtering problem for nonlinear continuous-time systems with sampled measurements. Using the concepts of dissipativity and differential game, sufficient conditions are derived for the existence of filters that satisfy a specified H performance bound. These conditions are expressed in terms of the solution of a differential Hamilton-Jacobi inequality with jumps. This differential Hamilton-Jacobi inequality is exactly the one used in the construction of full-order H filters. When these conditions hold, state-space formulae are also given for such filters.
Keywords :
Games; Maximum likelihood detection; Noise; Noise measurement; Nonlinear filters; Nonlinear systems; Differential game; H filtering; Nonlinear systems; Reduced-order filters; Sampled-data systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
European Control Conference (ECC), 2003
Conference_Location :
Cambridge, UK
Print_ISBN :
978-3-9524173-7-9
Type :
conf
Filename :
7085149
Link To Document :
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