Journal article

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

Ye Wang, Vicenc Puig, Gabriela Cembrano

International Journal of Robust and Nonlinear Control | WILEY | Published : 2018

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 is designed in a parameterized form. Within a set-based framework, following the zonotopic Kalman filter, the optimal filter gain is computed by minimizing the size of the corresponding zonotopes to ac..

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Grants

Awarded by Spanish State Research Agency (AEI)


Awarded by European Regional Development Fund (ERDF)


Awarded by Formacion de Personal Investigador (FPI)


Awarded by AGAUR of Generalitat de Catalunya through Advanced Control Systems (ACS)


Funding Acknowledgements

Spanish State Research Agency (AEI) and European Regional Development Fund (ERDF) through the projects DEOCS and SCAV, Grant/Award Number: DPI2016-76493-C3-3-R and DPI2017-88403-R; Formacion de Personal Investigador (FPI), Grant/Award Number: BES-2014-068319; AGAUR of Generalitat de Catalunya through Advanced Control Systems (ACS), Grant/Award Number: 2017-SGR-482