Paper Info
Title
Fault Diagnosis and control-reconfiguration in Large-Scale Systems: a Plug-and-Play approach
Abstract
This paper deals with a novel Plug-and-Play (PnP) architecture for the control and monitoring of Large-Scale Systems (LSSs). The proposed approach integrates a distributed Model Predictive Control (MPC) strategy with a distributed Fault Detection (FD) methodology for a class of nonlinear LSS in a PnP framework. The basic concept is to use the FD scheme as an autonomous decision support system: once a fault is detected, the faulty subsystem can be unplugged to avoid the propagation of the fault in the interconnected LSS. Analogously, once the issue has been solved, the disconnected subsystem can be re-plugged-in. PnP design of local controllers and detectors allow these operations to be performed safely, i.e. without spoiling stability and constraint satisfaction for the whole LSS.
Year
DOI
Venue
2014
10.1109/CDC.2014.7040166
Decision and Control
Keywords
Field
DocType
decision support systems,distributed control,fault diagnosis,interconnected systems,large-scale systems,nonlinear control systems,predictive control,FD methodology,PnP design,PnP framework,autonomous decision support system,control-reconfiguration,distributed MPC strategy,distributed fault detection,fault diagnosis,faulty subsystem,interconnected LSS,large-scale systems,model predictive control,nonlinear LSS,plug-and-play architecture
Constraint satisfaction,Nonlinear system,Control theory,Fault detection and isolation,Computer science,Decision support system,Control engineering,Plug and play,Distributed model predictive control,Detector,Control reconfiguration
Conference
ISSN
ISBN
Citations 
0743-1546
978-1-4799-7746-8
0
PageRank 
References 
Authors
0.34
10
4
Name
Order
Citations
PageRank
Stefano Riverso116717.28
Francesca Boem28312.10
Giancarlo Ferrari-Trecate383177.29
T Parisini4935113.17