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Robust fault estimation based on zonotopic Kalman filter for discrete-time descriptor systems

Author
Wang, Y.; Puig, V.; Cembrano, M.
Type of activity
Journal article
Journal
International journal of robust and nonlinear control
Date of publication
2018-08-20
Volume
28
Number
16
First page
5071
Last page
5086
DOI
10.1002/rnc.4298
Project funding
DEOCS: Monitorización, diagnostico y control tolerante a fallos de sistemas ciberfísicos con métodos basados en datos
Repository
http://hdl.handle.net/2117/131812 Open in new window
URL
https://onlinelibrary.wiley.com/doi/abs/10.1002/rnc.4298 Open in new window
Abstract
This paper proposes a set-based approach for robust fault estimation of discrete-time descriptor systems. The considered descriptor systems are subject to unknown-but-bounded uncertainties (state disturbances and measurement noise) in predefined zonotopes and additive actuator faults. The zonotopic fault estimation filter for descriptor systems is built based on fault detectability indices and matrix to estimate fault magnitude in a deterministic set. The zonotopic fault estimation filter gain i...
Citation
Wang, Y.; Puig, V.; Cembrano, M. Robust fault estimation based on zonotopic Kalman filter for discrete-time descriptor systems. "International journal of robust and nonlinear control", 20 Agost 2018, vol. 28, núm. 16, p. 5071-5086.
Keywords
boundedness, control theory, discrete-time descriptor systems, optimal filter gain, robust fault estimation, zonotopic filter
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

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