Title :
Decentralized stabilization with symmetric topologies
Author :
Kirkoryan, A. ; Belabbas, M.-A.
Author_Institution :
Coordinated Sci. Lab., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
Abstract :
A sparse matrix space is a vector space of matrices with entries that are either zero or arbitrary real. Letting the pattern of zero and arbitrary entries define an adjacency matrix (by setting the non-zero entries to one), we can attach a graph to such vector spaces and think of this graph as describing the decentralization structure of a control system. We want to determine whether this topology can sustain stable dynamics or, equivalently, whether the corresponding sparse matrix space contains stable matrices. We present in this paper a complete characterization the symmetric sparse matrix spaces that contain stable matrices.
Keywords :
decentralised control; graph theory; sparse matrices; vectors; adjacency matrix; decentralized stabilization; graph; matrix vector space; sparse matrix space; symmetric topologies; Aerospace electronics; Graph theory; Polynomials; Sparse matrices; Symmetric matrices; Topology; Vectors;
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
DOI :
10.1109/CDC.2014.7039569