TY - GEN
T1 - Fully distributed adaptive consensus control of multi-agent systems with LQR performance index
AU - Li, Zhenhong
AU - Ding, Zhengtao
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/2/8
Y1 - 2015/2/8
N2 - This paper deals with fully distributed consensus control of linear multi-agent systems in continuous-time. The subsystems or the agents are connected by an undirected graph with unknown network connectivity, which is then estimated by a carefully designed adaptive scheme. With this adaptive scheme, the proposed control design only uses the relative state information of the subsystems in a neighbourhood. This makes the proposed control fully distributed, without the use of the network connectivity that requires the Laplacian matrix of the entire network. The proposed control is also guaranteed to achieve an optimal control performance index.
AB - This paper deals with fully distributed consensus control of linear multi-agent systems in continuous-time. The subsystems or the agents are connected by an undirected graph with unknown network connectivity, which is then estimated by a carefully designed adaptive scheme. With this adaptive scheme, the proposed control design only uses the relative state information of the subsystems in a neighbourhood. This makes the proposed control fully distributed, without the use of the network connectivity that requires the Laplacian matrix of the entire network. The proposed control is also guaranteed to achieve an optimal control performance index.
UR - http://www.scopus.com/inward/record.url?scp=84962033783&partnerID=8YFLogxK
U2 - 10.1109/CDC.2015.7402231
DO - 10.1109/CDC.2015.7402231
M3 - Conference contribution
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 386
EP - 391
BT - 54rd IEEE Conference on Decision and Control,CDC 2015
PB - IEEE
T2 - 54th IEEE Conference on Decision and Control, CDC 2015
Y2 - 15 December 2015 through 18 December 2015
ER -