Objectif 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. Champ scientifique natural sciencescomputer and information sciencesartificial intelligencenatural sciencesmathematicsapplied mathematicsdynamical systemsengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsengineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunications Programme(s) 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) Thème(s) ERC-AG-PE7 - ERC Advanced Grant - Systems and communication engineering Appel à propositions ERC-2011-ADG_20110209 Voir d’autres projets de cet appel Régime de financement ERC-AG - ERC Advanced Grant Institution d’accueil UNIVERSITY OF CYPRUS Contribution de l’UE € 2 035 200,00 Adresse AVENUE PANEPISTIMIOU 2109 AGLANTZI 1678 Nicosia Chypre Voir sur la carte Région Κύπρος Κύπρος Κύπρος Type d’activité Higher or Secondary Education Establishments Contact administratif Xenia Constantinou (Ms.) Chercheur principal Marios Polycarpou (Prof.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée Bénéficiaires (1) Trier par ordre alphabétique Trier par contribution de l’UE Tout développer Tout réduire UNIVERSITY OF CYPRUS Chypre Contribution de l’UE € 2 035 200,00 Adresse AVENUE PANEPISTIMIOU 2109 AGLANTZI 1678 Nicosia Voir sur la carte Région Κύπρος Κύπρος Κύπρος Type d’activité Higher or Secondary Education Establishments Contact administratif Xenia Constantinou (Ms.) Chercheur principal Marios Polycarpou (Prof.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée
