Worst-Case Fault Detection Observer Design: Optimization Approach

H. B. Wang, J. L. Wang () and J. Lam
Additional contact information
H. B. Wang: Central South University
J. L. Wang: Nanyang Technological University
J. Lam: University of Hong Kong

Journal of Optimization Theory and Applications, 2007, vol. 132, issue 3, No 8, 475-491

Abstract: Abstract This paper deals with the fault detection problem for linear systems with unknown inputs. The H ∞ norm and H − index are employed to measure the robustness to unknown inputs and the sensitivity to faults, respectively. By using the pole assignment approach, the fault detection problem is transformed to an unconstrained optimization problem. With the aid of a gradient-based optimization approach, an explicit formula for designing the desirable observer gain is derived. Furthermore, the fault sensitivity over a finite frequency range can also be solved by the proposed method. The methodology proposed is verified through numerical simulation studies performed on the fault detection observer design of a vertical takeoff and landing aircraft.

Keywords: Fault detection; Observers; Optimization; Eigenvalue assignments (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10957-007-9183-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:joptap:v:132:y:2007:i:3:d:10.1007_s10957-007-9183-3

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-007-9183-3

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().