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Robust fault estimation based on interval Takagi-Sugeno unknown input observer

Author
Martínez , C.; Puig, V.; Astorga, C.
Type of activity
Journal article
Journal
IFAC-PapersOnLine
Date of publication
2018-01-01
Volume
51
Number
24
First page
508
Last page
514
DOI
https://doi.org/10.1016/j.ifacol.2018.09.624 Open in new window
Repository
http://hdl.handle.net/2117/130080 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S240589631832336X Open in new window
Abstract
This paper proposes a discrete-time robust fault estimation scheme based on an interval Takagi-Sugeno Unknown Input Observer (UIO). The designed observer allows the interval estimation of states and faults by considering that the uncertainty is modelled in a deterministic bounded context. Furthermore, in the observer design, the effect of uncertainty is minimized using the H8 criterion using a LMI formulation. The proposed estimation scheme allows not only to provide the nominal value for states...
Citation
Martínez , C.; Puig, V.; Astorga, C. Robust fault estimation based on interval Takagi-Sugeno unknown input observer. "IFAC-PapersOnLine", 1 Gener 2018, vol. 51, núm. 24, p. 508-514.
Keywords
DC motor, Takagi-Sugeno systems, fault estimation, interval observer, unknown input observer
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants