@inproceedings{9a459f19341a40c9989da6864132b036,
title = "Sensor and control surface/actuator failure detection based on the spectral norm of an innovation matrix",
abstract = "An approach to detect the aircraft sensor and control surface/actuator failures based on the spectral norm of an innovation matrix is proposed. An upper confidence bound for the spectral norm of a random innovation matrix A(k)∈ Rn×m that consists of normally distributed random variables with zero mathematical expectation is found. Based on the obtained theoretical results, an approach to detect failures that affect the mean and variance of the innovation sequence have been considered. The Extended Kalman Filter (EKF) is developed for nonlinear flight dynamic estimation of an F-16 fighter and the effects of the sensor and control surface/actuator failures in the innovation sequence of the designed EKF are investigated.",
keywords = "Eigenvalues, Extended Kalman filters, Failure detection, Failure isolation, Innovation, Kalman filters, Matrix methods, Norms",
author = "Chingiz Hajiyev",
year = "2007",
doi = "10.3182/20070625-5-fr-2916.00119",
language = "English",
isbn = "9783902661241",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
number = "PART 1",
pages = "698--703",
booktitle = "ACA' 2007 - 17th IFAC Symposium on Automatic Control in Aerospace - Proceedings",
edition = "PART 1",
}