Title :
Mixed H_/H∞ fault detection filter design based on probabilistic robustness
Author_Institution :
Dept. of CSEP, Univ. of Michigan-Flint, Flint, MI, USA
Abstract :
This paper presents fault detection filter design in mixed H_/H∞ objective formulation based on probabilistic robustness theory. With the recently developed probabilistic robustness theory, fault detection filter is designed which is robust to model uncertainty without structural restriction. Normally, fault detection filter is designed to satisfy two objectives such as low sensitivity (H∞) to disturbance but, high sensitivity (H_) to actual fault. An approach is developed to apply probabilistic robustness theory to mixed type filter design.
Keywords :
H∞ filters; fault diagnosis; probability; robust control; H_-H∞ objective formulation; mixed H_-H∞ fault detection filter design; mixed type filter design; model uncertainty; probabilistic robustness; probabilistic robustness theory; sensitivity disturbance; Fault detection; Filtering theory; Probabilistic logic; Robustness; Symmetric matrices; Uncertainty; Vectors; Fault detection filter; Probability; Robust control;
Conference_Titel :
Resilient Control Systems (ISRCS), 2013 6th International Symposium on
Conference_Location :
San Francisco, CA
DOI :
10.1109/ISRCS.2013.6623747