@inproceedings{09b30972a7a54ebd9a3eb5a9df17042e,
title = "A New Interval Observer Design Method with Application to Fault Detection",
abstract = "This chapter proposes a novel interval observer for continuous-time linear systems with unknown disturbance. Based on the stability criterion of a Metzler matrix, the interval observer design problem is converted into a series of nonlinear inequalities. To attenuate the effect of unknown disturbance on estimation error, an interval observer design method based on constrained optimization is proposed. The proposed interval observer is able to estimate upper and lower bounds of the states in the general assumption that disturbance is unknown but bounded. Thus it is particularly suitable for fault detection for uncertain linear systems. Therefore, the proposed method is further used to generate dynamic thresholds to achieve fault detection. Finally, a flight control system is simulated to demonstrate the effectiveness of the proposed method.",
keywords = "Constrained optimization, Fault detection, Interval observer, Metzler matrix",
author = "Liliang Li and Zhijie Shao and Rui Niu and Gang Liu and Zhenhua Wang",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 6th International Conference on Positive Systems, POSTA 2018 ; Conference date: 25-08-2018 Through 27-08-2018",
year = "2019",
doi = "10.1007/978-3-030-04327-8\_19",
language = "英语",
isbn = "9783030043261",
series = "Lecture Notes in Control and Information Sciences",
publisher = "Springer Verlag",
pages = "233--243",
editor = "James Lam and Xingwen Liu and Xudong Zhao and Yun Chen and Junfeng Zhang",
booktitle = "Positive Systems - Theory and Applications POSTA 2018",
address = "德国",
}