Distributed fault diagnosis for continuous-time nonlinear systems: The input–output case

Authors: Francesca Boem, Riccardo M.G. Ferrari, Thomas Parisini, Marios M. Polycarpou

Abstract:
In this paper, some new results on distributed fault diagnosis of continuous-time nonlinear systems with partial state measurements are proposed. By exploiting an overlapping decomposition framework, the dynamics of a nonlinear uncertain large-scale dynamical system is described as the interconnections of several subsystems. Each subsystem is monitored by a Local Fault Diagnoser: a set of local estimators, based on the nominal local dynamic model and on an adaptive approximation of the interconnection and of the fault function, allows to derive a local fault decision. A consensus-based protocol is used in order to improve the detectability and the isolability of faults affecting variables shared among different subsystems because of the overlapping decomposition. A sufficient condition ensuring the convergence of the estimation errors is derived. Finally, possibly non-conservative time-varying threshold functions guaranteeing no false-positive alarms and theoretical results dealing with detectability and isolability sufficient conditions are presented.

Published in: Annual Reviews in Control  (Volume 37, Issue 1, April  2013)

Publisher: Elsevier

ISSN Information: 1367-5788

Distributed fault diagnosis for continuous-time nonlinear systems: The input–output case

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