Minimum System Sensitivity Study of Linear Discrete Time Systems for Fault Detection
Xiaobo Li and
Hugh H. T. Liu
Mathematical Problems in Engineering, 2013, vol. 2013, 1-13
Abstract:
Fault detection is a critical step in the fault diagnosis of modern complex systems. An important notion in fault detection is the smallest gain of system sensitivity, denoted as index, which measures the worst fault sensitivity. This paper is concerned with characterizing index for linear discrete time systems. First, a necessary and sufficient condition on the lower bound of index in finite time horizon for linear discrete time-varying systems is developed. It is characterized in terms of the existence of solution to a backward difference Riccati equation with an inequality constraint. The result is further extended to systems with unknown initial condition based on a modified index. In addition, for linear time-invariant systems in infinite time horizon, based on the definition of the index in frequency domain, a condition in terms of algebraic Riccati equation is developed. In comparison with the well-known bounded real lemma, it is found that index is not completely dual to norm. Finally, several numerical examples are given to illustrate the main results.
Date: 2013
References: Add references at CitEc
Citations:
Downloads: (external link)
http://downloads.hindawi.com/journals/MPE/2013/276987.pdf (application/pdf)
http://downloads.hindawi.com/journals/MPE/2013/276987.xml (text/xml)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:276987
DOI: 10.1155/2013/276987
Access Statistics for this article
More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().