DocumentCode :
3163315
Title :
Set theory based condition in LMI form for network topology preservation for decentralized control
Author :
Fiacchini, Mirko ; Morarescu, I.
Author_Institution :
CRAN, Univ. de Lorraine, Vandoeuvre-les-Nancy, France
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
6229
Lastpage :
6234
Abstract :
Connectivity preservation of the interconnection network is an essential ingredient in decentralized control. This paper focuses on the preservation of a given network topology which ensures the connectivity. We consider a networked system with a discrete dynamics in which two subsystems are able to communicate if an algebraic relation between their states is satisfied. The connected subsystems are called neighbours. The subsystems updates their state in a decentralized manner by taking into account their neighbours state. Each connection is preserved as far as the algebraic relation is verified. The objective of the proposed set theory based control law is to keep the state of each subsystem in a specific domain that ensures the algebraic constraint satisfaction. The resulting control design reduces to the solution of convex problems involving Linear Matrix Inequalities (LMI), then easily solvable. Beside the network preservation, the global coordination may be imposed by adding supplementary constraints in the control design.
Keywords :
control system synthesis; decentralised control; linear matrix inequalities; set theory; LMI form; algebraic constraint satisfaction; connectivity preservation; convex problem; decentralized control; discrete dynamics; global coordination; interconnection network; linear matrix inequalities; network topology preservation; set theory based condition; set theory based control law; Artificial neural networks; Distributed control; Network topology; Nickel; Set theory; Topology; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6426020
Filename :
6426020
Link To Document :
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