TY - JOUR
T1 - H∞ filtering for multiple-time-delay measurements
AU - Zhang, Huanshui
AU - Feng, Gang
AU - Duan, Guangren
AU - Lu, Xiao
PY - 2006/5
Y1 - 2006/5
N2 -
The aim of this paper is to study the H∞ filtering problem for
linear continuous-time systems with both current and multiple-time-delay
measurements. The key technique applied for deriving the filter is the
reorganized innovation analysis approach in Krein space. A necessary and
sufficient condition for the existence of an H∞ filter is derived, and the
solution to the H∞ filter is given in terms of solutions of Riccati and matrix
differential equations. An example is finally presented to show the effectiveness
of the proposed approach.
AB -
The aim of this paper is to study the H∞ filtering problem for
linear continuous-time systems with both current and multiple-time-delay
measurements. The key technique applied for deriving the filter is the
reorganized innovation analysis approach in Krein space. A necessary and
sufficient condition for the existence of an H∞ filter is derived, and the
solution to the H∞ filter is given in terms of solutions of Riccati and matrix
differential equations. An example is finally presented to show the effectiveness
of the proposed approach.
KW - Continuous-time systems
KW - H∞ Filter
KW - Multiple delayed systems
KW - Reorganized innovation analysis
KW - Riccati equations
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-33646045292&origin=recordpage
U2 - 10.1109/TSP.2006.870585
DO - 10.1109/TSP.2006.870585
M3 - RGC 21 - Publication in refereed journal
SN - 1053-587X
VL - 54
SP - 1681
EP - 1688
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
IS - 5
ER -