FAULT-ADAPTIVE

Fault-Adaptive Monitoring and Control of Complex Distributed Dynamical Systems

Coordinatore	UNIVERSITY OF CYPRUS    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	Cyprus [CY]
Totale costo	2˙035˙200 €
EC contributo	2˙035˙200 €
Programma	FP7-IDEAS-ERC Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	ERC-2011-ADG_20110209
Funding Scheme	ERC-AG
Anno di inizio	2012
Periodo (anno-mese-giorno)	2012-04-01   -   2018-03-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSITY OF CYPRUS  Organization address address: KALLIPOLEOS STREET 75 city: NICOSIA postcode: 1678 contact info Titolo: Ms. Nome: Xenia Cognome: Constantinou Email: send email Telefono: +357 22894297 Fax: +357 22894472	CY (NICOSIA)	hostInstitution	2˙035˙200.00
2	UNIVERSITY OF CYPRUS  Organization address address: KALLIPOLEOS STREET 75 city: NICOSIA postcode: 1678 contact info Titolo: Prof. Nome: Marios Cognome: Polycarpou Email: send email Telefono: +357 22892252 Fax: +357 22892260	CY (NICOSIA)	hostInstitution	2˙035˙200.00

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 Obiettivo del progetto (Objective)

'The emergence of networked embedded systems and sensor/actuator networks has facilitated the development of advanced monitoring and control applications, where a large amount of sensor data is collected and processed in real-time in order to activate the appropriate actuators and achieve the desired control objectives. However, in situations where a fault arises in some of the components (e.g., sensors, actuators, communication links), or an unexpected event occurs in the environment, this may lead to a serious degradation in performance or, even worse, to an overall system failure. There is a need to develop a systematic framework to enhance the reliability, fault-tolerance and sustainability of complex distributed dynamical systems through the use of fault-adaptive monitoring and control methods. The work proposed here will contribute to the development of such a framework with emphasis on applications related to critical infrastructure systems (e.g., power, water, telecommunications and transportation systems). It will provide an innovative approach based on the use of networked intelligent agent systems, where the state of the infrastructure is monitored and controlled by a network of sensors and actuators with cooperating agents for fault diagnosis and fault tolerant control. A hierarchical fault diagnosis architecture will be developed, with neighbouring fault diagnosis agents cooperating at a local level, while transmitting their information, as needed, to a regional monitoring agent, responsible for integrating in real-time local information into a large-scale “picture” of the health of the infrastructure. A key motivation is to exploit spatial and temporal correlations between measured variables using learning methods, and to develop the tools and design methodologies that will prevent relatively “small” faults or unexpected events from causing significant disruption or complete system failures in complex distributed dynamical systems.'