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Model-Based Fault Detection and Estimation for Linear Time Invariant and Piecewise Affine Systems by Using Quadratic Boundedness

A. Alessandri
•
F. Boem
•
T. Parisini
2018
  • conference object

Abstract
Quadratic boundedness is a notion of stability that is adopted to investigate the design of observers for dynamic systems subject to bounded disturbances. We will show how to exploit such observers for the purpose of fault detection. Toward this end, first of all we present the naive application of quadratic boundedness to construct state observers for linear time-invariant systems with state augmentation, i.e., where additional variables may be introduced to account for the occurrence of a fault. Then a Luenberger observer is designed to estimate the augmented state variable of the system in such a way to detect the fault by using a convenient threshold selection. Finally, such an approach is extended to piecewise affine systems by presenting a hybrid Luenberger observer and its related design based on quadratic boundedness. The design of all the observers for both linear time-invariant and piecewise affine systems can be done by using linear matrix inequalities. Simulation results are provided to show the effectiveness of the proposed approach.
DOI
10.1109/CDC.2018.8619344
WOS
WOS:000458114805023
Archivio
http://hdl.handle.net/11368/2942112
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85062182903
https://ieeexplore.ieee.org/document/8619344
Diritti
open access
license:copyright editore
license:copyright editore
FVG url
https://arts.units.it/request-item?handle=11368/2942112
Soggetti
  • Fault Detection and E...

Scopus© citazioni
5
Data di acquisizione
Jun 7, 2022
Vedi dettagli
google-scholar
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