Title :
Robust filter design for sampled-data systems with interconnections
Author :
Shi, Peng ; Zhang, Jingxin
Author_Institution :
Sch. of Math., South Australia Univ., SA, Australia
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;
Conference_Titel :
TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-3679-8
DOI :
10.1109/TENCON.1996.608819
