4.7 Article

H-/H∞ memory fault detection filtering design for uncertain systems with finite frequency specifications

Journal

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
Volume 31, Issue 11, Pages 5381-5403

Publisher

WILEY
DOI: 10.1002/rnc.5552

Keywords

H-/H-infinity filtering; fault detection; finite frequency domain; memory filtering; polytopic uncertainties

Funding

  1. Research Grants Council of the Hong Kong Special Administrative Region of China [CityU/11211818, CityU/11217619]

Ask authors/readers for more resources

This article focuses on the design of H-/H-infinity memory fault detection filters in the finite frequency domain for discrete-time systems with polytopic uncertainties. By using historical information and parameter-dependent Lyapunov functions, better performance of the fault detection filter is obtained. Sufficient conditions for the fault detection filtering design are established by solving an optimization problem in the form of a set of linear matrix inequalities (LMIs), showing the effectiveness and advantages of the proposed approach through three examples.
This article is concerned with the H-/H-infinity memory fault detection filtering design in finite frequency domain for discrete-time systems with polytopic uncertainties. Under the assumption that both disturbances and faults are restricted to finite frequency ranges, that is, the low, middle, or high frequency range, an admissible memory fault detection filter is developed by using historical information of the system. It is shown that the asymptotic stability with prescribed H-/H-infinity performance of the closed-loop filtering error system is guaranteed. It is also shown that by using historical system outputs along with parameter-dependent Lyapunov functions, the better performance of the resulting fault detection filter is obtained. With the aid of Projection lemma, sufficient conditions for the fault detection filtering design are established by solving an optimization problem in the form of a set of linear matrix inequalities (LMIs). Finally, three examples are presented to demonstrate the effectiveness and advantages of the proposed approach.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available