dc.contributor.author | Prathyush, P. Menon | |
dc.contributor.author | Edwards, Christopher | |
dc.date.accessioned | 2015-11-30T10:24:13Z | |
dc.date.issued | 2009-12 | |
dc.description.abstract | In this paper global stabilisation of a complex network is attained by applying local decentralised output feedback control to a minimum number of nodes of the network. The stabilisation of the network is treated as a rank constrained problem. Strict positive realness conditions on the node level dynamics allow nonlinearities/uncertainties which satisfy the sector conditions to be considered. A network of Chua oscillators with 75 nodes is considered to demonstrate the efficacy of the approach. | en_GB |
dc.identifier.citation | Vol. 45, pp. 2910 - 2916 | en_GB |
dc.identifier.doi | 10.1016/j.automatica.2009.09.029 | |
dc.identifier.uri | http://hdl.handle.net/10871/18824 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.subject | Decentralised control | en_GB |
dc.subject | Complex networks | en_GB |
dc.subject | Linear Matrix Inequalities | en_GB |
dc.subject | Output feedback | en_GB |
dc.title | Decentralised static output feedback stabilisation and synchronisation of networks | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2015-11-30T10:24:13Z | |
dc.identifier.issn | 0005-1098 | |
dc.description | Dynamic multi-agent networks are important in a wide range of areas in science and engineering, including mobile sensor networks, distributed robotics such as underwater vehicles and cooperative unmanned air vehicles, biological synchronisation, networked economics and social networks. The paper makes a fundamental theoretical contribution to the field by blending methods from graph theory and control theory. [Impact Factor: 2.631, second highest of all Control Engineering journals] | en_GB |
dc.description | This is the author's pre-print. The definitive published version is available via doi:10.1016/j.automatica.2009.09.029 | en_GB |
dc.identifier.journal | Automatica | en_GB |