TY - GEN
T1 - Consensus of heterogeneous multiple integrator agents on directed graphs
AU - Abdessameud, Abdelkader
AU - Tayebi, Abdelhamid
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/28
Y1 - 2017/6/28
N2 - This paper considers the consensus problem of heterogeneous high-order multi-agent systems, described by multiple integrator dynamics with mixed order, under general directed graphs. We propose a state-feedback-based distributed consensus algorithm that achieves consensus without topology-dependent conditions. It is shown that consensus is reached under a necessary and sufficient condition of an interconnection graph having a spanning tree. As a result, the proposed approach relaxes some restrictive assumptions, commonly considered in the literature, on the availability of global information for all agents and on the type of information shared among agents.
AB - This paper considers the consensus problem of heterogeneous high-order multi-agent systems, described by multiple integrator dynamics with mixed order, under general directed graphs. We propose a state-feedback-based distributed consensus algorithm that achieves consensus without topology-dependent conditions. It is shown that consensus is reached under a necessary and sufficient condition of an interconnection graph having a spanning tree. As a result, the proposed approach relaxes some restrictive assumptions, commonly considered in the literature, on the availability of global information for all agents and on the type of information shared among agents.
UR - http://www.scopus.com/inward/record.url?scp=85046128472&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85046128472&partnerID=8YFLogxK
U2 - 10.1109/CDC.2017.8264162
DO - 10.1109/CDC.2017.8264162
M3 - Conference contribution
AN - SCOPUS:85046128472
T3 - 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
SP - 3437
EP - 3442
BT - 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 56th IEEE Annual Conference on Decision and Control, CDC 2017
Y2 - 12 December 2017 through 15 December 2017
ER -