@inproceedings{4ac7e1d7395343e598b049e79d3f4cf3,
title = "Performance analysis of LTV fault detection schemes with additive faults",
abstract = "This paper considers the problem of certifying the performance of a class of model-based fault detection schemes. The underlying plant is assumed to be a linear time-varying (LTV) system subject to a Markov-switching fault input. The fault detection scheme consists of two parts: an LTV component that produces a scalar residual and a static nonlinear function that infers the presence of a fault based on this residual. Probabilistic performance metrics are presented and the complexity of computing these metrics is analyzed. It is shown that under a set of realistic assumptions, this complexity is reduced to polynomial time. An aerospace example, involving a pitot-static probe subject to random bias faults, is used to demonstrate the usefulness of this analysis.",
author = "Wheeler, {Timothy J.} and Peter Seiler and Packard, {Andrew K.} and Balas, {Gary J.}",
year = "2011",
doi = "10.1109/CDC.2011.6160786",
language = "English (US)",
isbn = "9781612848006",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3038--3043",
booktitle = "2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011",
note = "2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 ; Conference date: 12-12-2011 Through 15-12-2011",
}