DocumentCode
114375
Title
On symmetry and controllability of multi-agent systems
Author
Chapman, Airlie ; Mesbahi, Mehran
Author_Institution
Dept. of Aeronaut. & Astronaut., Univ. of Washington, Seattle, WA, USA
fYear
2014
fDate
15-17 Dec. 2014
Firstpage
625
Lastpage
630
Abstract
This paper delves into the link between symmetry and controllability of networked systems. We examine symmetry results pertaining to the determining sets of a graph and eigenvalue multiplicity. These provide methods to reason how symmetry structure of the network informs the control input design. We generalize graph automorphisms, which represent graph symmetries, to signed fractional graph automorphisms via a semi-definite programming relaxation. Consequently, we extend existing results on the relationship between graph automorphisms and uncontrollability to signed fractional graph automorphisms, showing necessary and sufficient conditions for controllability.
Keywords
control system synthesis; controllability; eigenvalues and eigenfunctions; graph theory; multi-agent systems; eigenvalue multiplicity; fractional graph; graph automorphisms fractional; graph theory; input design control; multiagent system controllability; multiagent system symmetry; networked systems; semidefinite programming relaxation; uncontrollability; Controllability; Eigenvalues and eigenfunctions; Laplace equations; Observability; Symmetric matrices; Vectors; Vehicle dynamics; Coordination algorithms; Graph symmetry; Network controllability; Network observability; Signed fractional automorphisms;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location
Los Angeles, CA
Print_ISBN
978-1-4799-7746-8
Type
conf
DOI
10.1109/CDC.2014.7039451
Filename
7039451
Link To Document