Title :
Fault detection in a mixed H2/H∞ setting
Author :
Khosrowjerdi, M.J. ; Nikoukhah, R. ; Safari-Shad, N.
Author_Institution :
Dept. of Electr. Eng., Sahand Univ. of Technol., Tabriz, Iran
fDate :
7/1/2005 12:00:00 AM
Abstract :
In this note, we study the problem of fault detection in linear time-invariant (LTI) systems which are simultaneously effected by two classes of unknown inputs: Noises having fixed spectral densities and unknown finite energy disturbances. This problem is formulated as a mixed H2/H∞ filtering problem. Necessary and sufficient conditions for local optimality are presented. Moreover, it is shown that suboptimal solutions can be computed by solving a convex minimization problem with a set of linear matrix inequality (LMI) constrains. A numerical example is given to illustrate the advantage of the mixed H2/H∞ approach as compared to existing techniques which are based on optimization of H2 and H∞ criteria.
Keywords :
H∞ optimisation; convex programming; filtering theory; linear matrix inequalities; linear systems; minimisation; optimal systems; reliability theory; convex minimization problem; fault detection; filtering problem; linear matrix inequality; linear time-invariant systems; local optimality; mixed H2/H∞ setting; noises; suboptimal solutions; unknown finite energy disturbances; Digital filters; Fault detection; Filtering; H infinity control; Kalman filters; Noise generators; Noise reduction; Noise robustness; Riccati equations; Symmetric matrices; Linear matrix inequalities (LMIs); mixed; robust fault detection;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2005.851464