TY - GEN
T1 - Decentralized stabilization with symmetric topologies
AU - Kirkoryan, A.
AU - Belabbas, M. A.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84988268419&partnerID=8YFLogxK
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U2 - 10.1109/CDC.2014.7039569
DO - 10.1109/CDC.2014.7039569
M3 - Conference contribution
AN - SCOPUS:84988268419
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 1347
EP - 1352
BT - 53rd IEEE Conference on Decision and Control,CDC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014
Y2 - 15 December 2014 through 17 December 2014
ER -