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research article
Regularized Robust Filters for Time-Varying Uncertain Discrete-Time Systems
This note develops robust filters for time-varying uncertain discrete-time systems. The developed filters are based on a data regularization solution and they enforce a minimum state-error variance property. Simulation results confirm their superior performance over other robust filter designs.
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Type
research article
Authors
Publication date
2004
Publisher
Published in
Volume
49
Issue
6
Start page
970
End page
976
Peer reviewed
REVIEWED
EPFL units
Available on Infoscience
December 19, 2017