DEMAND

DECENTRALIZED MONITORING AND ADAPTIVE CONTROL FOR NETWORKED DYNAMICAL SYSTEMS

 Coordinatore INOVACIONI CENTAR ELEKTROTEHNICKOG FAKULTETA U BEOGRADU DOO 

 Organization address address: BULEVAR KRALJA ALEKSANDRA 73
city: BEOGRAD
postcode: 11020

contact info
Titolo: Prof.
Nome: Branimir
Cognome: Reljin
Email: send email
Telefono: +381 11 3370123
Fax: +381 11 3370123

 Nazionalità Coordinatore Serbia [RS]
 Totale costo 100˙000 €
 EC contributo 100˙000 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2012-CIG
 Funding Scheme MC-CIG
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-04-01   -   2017-03-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    INOVACIONI CENTAR ELEKTROTEHNICKOG FAKULTETA U BEOGRADU DOO

 Organization address address: BULEVAR KRALJA ALEKSANDRA 73
city: BEOGRAD
postcode: 11020

contact info
Titolo: Prof.
Nome: Branimir
Cognome: Reljin
Email: send email
Telefono: +381 11 3370123
Fax: +381 11 3370123

RS (BEOGRAD) coordinator 100˙000.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

networked    networks    agent    decentralized    area    cooperation    tools    sensor   

 Obiettivo del progetto (Objective)

'Decision making in large-scale, complex and uncertain systems is a challenging problem. The advents of sensor networks and networked control systems have strengthened the importance of decentralized multi-agent methods. The aim of the project is to define a novel framework and a set of tools for efficient decentralized estimation, detection and adaptive control for networked dynamical systems. Many fundamental questions are open in this area, such as how the cooperation of numerous simple units can overcome very limited resources (in terms of the amount of information, energy, reliability, communication and computation capacity) that each agent has. To tackle these problems we are going to propose systematic techniques based on overlapping system decomposition and game-theoretic methods. Furthermore, we will develop algorithms with embedded cooperation strategy where local detectors, observers and controllers are embedded in a consensus based scheme in order to enhance the overall networked system capabilities. Finally, the developed tools will be verified in the important application area of self-organizing mobile wireless sensor networks.'

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