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A decentralized fault-tolerant control scheme based on Active Fault Diagnosis

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Title: A decentralized fault-tolerant control scheme based on Active Fault Diagnosis
Authors: Raimondo, DM
Boem, F
Gallo, A
Parisini, T
Item Type: Conference Paper
Abstract: This paper deals with a decentralized fault-tolerant control methodology based on an Active Fault Diagnosis approach. The proposed technique addresses the important problem of monitoring interconnected Large-Scale Systems (LSS). The fault diagnosis approach is made of a passive set-based fault detection method and an active fault isolation technique, able to guarantee isolability subject to local input and state constraints. The proposed scheme can be implemented locally in a decentralized way. A significant feature is the decentralized design constructed on tube-based Model Predictive Control to possibly allow the disconnection of faulty subsystems or the reconfiguration of local controllers. The Active Fault Diagnosis tool is designed to support the decision-making process for the control and monitoring of the LSS.
Issue Date: 29-Dec-2016
Date of Acceptance: 24-Jul-2016
URI: http://hdl.handle.net/10044/1/43611
DOI: https://dx.doi.org/10.1109/CDC.2016.7798584
Publisher: IEEE
Journal / Book Title: Decision and Control (CDC), 2016 IEEE 55th Conference on
Copyright Statement: © 20I6 EEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/L014343/1
Conference Name: 2016 IEEE 55th Conference on Decision and Control
Start Date: 2016-12-12
Finish Date: 2016-12-14
Conference Place: Las Vegas
Appears in Collections:Electrical and Electronic Engineering
Faculty of Engineering