Publication
Interval observer versus set-membership approaches for fault detection in uncertain systems using zonotopes
Journal Article (2019)
Journal
International Journal of Robust and Nonlinear Control
Pages
2819-2843
Volume
29
Number
10
Doc link
http://dx.doi.org/10.1002/rnc.4523
File
Abstract
This paper presents both analysis and comparison of the interval-observer-based and set-membership approaches for the state estimation and fault detection (FD) in uncertain linear systems. The considered approaches assume that both state disturbance and measurement noise are modeled in a deterministic context following the unknown but bounded approach. The propagation of uncertainty in the state estimation is bounded through a zonotopic set representation. Both approaches have been mathematically related and compared when used for state estimation and FD. A case study based on a two-tanks system is employed for showing the relationship between both approaches while comparing their performance.
Categories
control theory.
Author keywords
uncertainty, interval observer, set membership, state estimation, fault detection, minimum detectable fault
Scientific reference
M. Pourasghar, V. Puig and C. Ocampo-Martínez. Interval observer versus set-membership approaches for fault detection in uncertain systems using zonotopes. International Journal of Robust and Nonlinear Control, 29(10): 2819-2843, 2019.
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