CDMAN

Control of Spatially Distributed Complex Multi-Agent Networks

 Coordinatore RIJKSUNIVERSITEIT GRONINGEN 

Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.

 Nazionalità Coordinatore Netherlands [NL]
 Totale costo 1˙495˙444 €
 EC contributo 1˙495˙444 €
 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-2012-StG_20111012
 Funding Scheme ERC-SG
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-01-01   -   2017-12-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    RIJKSUNIVERSITEIT GRONINGEN

 Organization address address: Broerstraat 5
city: GRONINGEN
postcode: 9712CP

contact info
Titolo: Dr.
Nome: Dick
Cognome: Veldhuis
Email: send email
Telefono: +31 050 3634142
Fax: +31 050 3634500

NL (GRONINGEN) hostInstitution 1˙495˙444.00
2    RIJKSUNIVERSITEIT GRONINGEN

 Organization address address: Broerstraat 5
city: GRONINGEN
postcode: 9712CP

contact info
Titolo: Dr.
Nome: Ming
Cognome: Cao
Email: send email
Telefono: +31 050 3638712
Fax: +31 050 3638498

NL (GRONINGEN) hostInstitution 1˙495˙444.00

Mappa


 Word cloud

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network    theoretical    model    agent    theory    networks    empirical    distributed    effectively    agents    first   

 Obiettivo del progetto (Objective)

'Spatially distributed multi-agent networks have been used successfully to model a wide range of natural, social and engineered complex systems, such as animal groups, online communities and electric power grids. In various contexts, it is crucial to introduce control actions into such networks to either achieve desired collective dynamics or test the understanding of the systems’ behavior. However, controlling such systems is extremely challenging due to agents’ complicated sensing, communication and control interactions that are distributed in space. Systematic methodologies to attack this challenge are in urgent need, especially when vast efforts are being made in multiple disciplines to apply the model of complex multi-agent networks. The goal of the project is twofold. First, understand whether a complex multi-agent network can be controlled effectively when the agents can only sense and communicate locally. Second, provide methodologies to implement distributed control in typical spatially distributed complex multi-agent networks. The project requires integrated skills since both rigorous theoretical analysis and novel empirical explorations are necessary. The research methods that I plan to adopt have two distinguishing features. First, I use tools from algebraic graph theory and complex network theory to investigate the impact of network topologies on the systems’ controller performances characterized by mathematical control theory. Second, I utilize a homemade robotic-fish testbed to implement various multi-agent control algorithms. The unique combination of theoretical and empirical studies is expected to lead to breakthroughs in developing an integrated set of principles and techniques to control effectively spatially distributed multi-agent networks. The expected results will make original contributions to control engineering and robotics, and inspire innovative research methods in theoretical biology and theoretical sociology.'

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