@inproceedings{94a558968e6c4ea28068a6ebd0dc1591,
title = "Sensor fault reconstruction for one-sided Lipschitz nonlinear systems",
abstract = "There has been extensive research for sensor fault reconstruction / estimation for Lipschitz nonlinear systems (LNS). This paper extends the existing theory to a recently introduced class of nonlinear systems called one-sided Lipschitz nonlinear systems (OLNS). One-sided Lipschitz nonlinear systems not only cover a wider class of nonlinear systems but also generate less conservative results compared to Lipschitz nonlinear systems. The proposed solution is presented in form of linear matrix inequalities which are easily tractable with standard algorithms. The proposed method is outlined by an illustrative example.",
author = "M. Abid and Khan, \{A. Q.\} and M. Rehan and M. Adil",
year = "2013",
doi = "10.1109/IBCAST.2013.6512131",
language = "English",
isbn = "9781467344265",
series = "Proceedings of 2013 10th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2013",
pages = "63--67",
booktitle = "Proceedings of 2013 10th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2013",
note = "2013 10th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2013 ; Conference date: 15-01-2013 Through 19-01-2013",
}