In this section
@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}
}
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 -