Please use this identifier to cite or link to this item:
|Title:||An LMI approach to minimum sensitivity analysis with application to fault detection|
|Keywords:||ℋ - index|
Minimum singular value
|Citation:||Liu, J., Wang, J.L., Yang, G.-H. (2005-11). An LMI approach to minimum sensitivity analysis with application to fault detection. Automatica 41 (11) : 1995-2004. ScholarBank@NUS Repository. https://doi.org/10.1016/j.automatica.2005.06.005|
|Abstract:||This paper systematically studies the minimum input sensitivity analysis problem. The lowest level of sensitivity of system outputs to system inputs is defined as an H- index. A full characterization of the H- index is given, first, in terms of matrix equalities and inequalities, and then in terms of linear matrix inequalities (LMIs), as a dual of the Bounded Real Lemma. A related problem of input observability is also studied, with new necessary and sufficient conditions given, which are necessary for a fault detection system to have a nonzero worst-case fault sensitivity. The above results are applied to the problem of fault detection filter analysis, with numerical examples given to show the effectiveness of the proposed approaches. © 2005 Elsevier Ltd. All rights reserved.|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 17, 2019
WEB OF SCIENCETM
checked on Mar 6, 2019
checked on Mar 8, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.