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Regular version of the site

Book chapter

Sensor Fault Estimation for Discrete-time Systems in Presence of Correlated Noise with Anisotropy-based Quality Criterion

P. 355-360.
Belov A. A., Andrianova O.

This paper presents a matrix inequality approach
to sensor fault estimation in presence of random input dis-
turbance with unknown covariance. The input is supposed to
be a correlated stationary Gaussian noise with bounded mean
anisotropy. The quality criterion is defined as anisotropic norm
of the system. Anisotropic norm of the system defines gain from
input disturbance with bounded mean anisotropy to output. The
main contribution of the paper is sensor fault estimator design
that allows to estimate sensor fault with guaranteed anisotropy-
based disturbance attenuation level. Numerical example is given.