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@inproceedings{Li:2017:10.1016/j.ifacol.2017.08.209,
author = {Li, PENG and Boem, F and Pin, G and Parisini, T},
doi = {10.1016/j.ifacol.2017.08.209},
publisher = {IFAC},
title = {Distributed fault detection and isolation for interconnected systems: a non-asymptotic kernel-based approach},
url = {http://dx.doi.org/10.1016/j.ifacol.2017.08.209},
year = {2017}
}

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TY  - CPAPER
AB  - In this paper, a novel framework is proposed for deadbeat distributed Fault Detectionand  Isolation  (FDI)  of  large-scale  continuous-time  LTI  dynamic  systems.  The  monitoredsystem  is  composed  of  several  subsystems  which  are  linearly  interconnected  with  unknownparameterization.  Each  subsystem  is  monitored  by  a  local  diagnoser  based  on  the  measuredlocal output, local inputs and the interconnection variables from the neighboring subsystems.The local FDI decision is based on two non-asymptotic state-parameter estimators using Volterraintegral  operators  which  eliminate  the  effect  of  the  unknown  initial  conditions  so  that  theestimates  converge  to  the  true  value  in  a  deadbeat  manner  and  therefore  the  fault  diagnosiscan  be  achieved  in  finite  time.  Moreover,  the  unknown  interconnection  parameters  and  theunknown fault parameters are simultaneously estimated. Numerical examples are included toshow the effectiveness of the proposed FDI architecture.
AU  - Li,PENG
AU  - Boem,F
AU  - Pin,G
AU  - Parisini,T
DO  - 10.1016/j.ifacol.2017.08.209
PB  - IFAC
PY  - 2017///
TI  - Distributed fault detection and isolation for interconnected systems: a non-asymptotic kernel-based approach
UR  - http://dx.doi.org/10.1016/j.ifacol.2017.08.209
UR  - http://hdl.handle.net/10044/1/45077
ER  -

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