Robust filter design for sampled-data systems with interconnections

Author

Shi, Peng ; Zhang, Jingxin

Author_Institution

Sch. of Math., South Australia Univ., SA, Australia

Volume

1

fYear

1996

fDate

26-29 Nov 1996

Firstpage

282

Abstract

The problem of H_∞ filtering for a class of interconnected nonlinear continuous-time systems subject to real time-varying parameter uncertainty with sampled-data measurements is considered. Linear filters are designed that would guarantee a prescribed H_∞ performance in the continuous-time context, irrespective of the parameter uncertainty, nonlinear interactions and unknown initial states. Both the cases of finite and infinite horizon filtering are investigated in terms of a set of differential Riccati equations with finite discrete jumps

Keywords

H^∞ control; Riccati equations; continuous time systems; filtering theory; interconnected systems; nonlinear differential equations; nonlinear systems; sampled data filters; signal sampling; time-varying systems; H_∞ filtering; H_∞ performance; H_∞ sampled-data control; continuous-time context; differential Riccati equations; finite discrete jumps; finite horizon filtering; infinite horizon filtering; initial states; interconnected nonlinear continuous-time systems; interconnections; linear filters; nonlinear interactions; real time-varying parameter uncertainty; robust filter design; sampled-data filtering; sampled-data measurements; sampled-data systems; Differential equations; Filtering; Infinite horizon; Measurement uncertainty; Nonlinear equations; Nonlinear filters; Riccati equations; Robustness; Time varying systems; Uncertain systems;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications

Conference_Location

Perth, WA

Print_ISBN

0-7803-3679-8

Type

conf

DOI

10.1109/TENCON.1996.608819

Filename

608819