TY - GEN
T1 - Distributed Average Tracking with Event-Triggered Algorithms of Multi-Agent Systems
AU - Xian, Chengxin
AU - Zhao, Yu
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - Distributed average tracking (DAT) problems are investigated for general linear dynamical systems under undirected connected topology in this paper. A kind of distributed event-triggered DAT algorithms with static gain is designed by using model-based local sampled state information. The control objective of the considered DAT problem is achieved by using the proposed event-triggered DAT algorithms. Meanwhile, the Zeno behavior is excluded. Finally, a simulation example is presented to validate the proposed control laws.
AB - Distributed average tracking (DAT) problems are investigated for general linear dynamical systems under undirected connected topology in this paper. A kind of distributed event-triggered DAT algorithms with static gain is designed by using model-based local sampled state information. The control objective of the considered DAT problem is achieved by using the proposed event-triggered DAT algorithms. Meanwhile, the Zeno behavior is excluded. Finally, a simulation example is presented to validate the proposed control laws.
KW - distributed average tracking
KW - event-triggered control
KW - multi-agent systems
UR - http://www.scopus.com/inward/record.url?scp=85080921946&partnerID=8YFLogxK
U2 - 10.1109/SSCI44817.2019.9002838
DO - 10.1109/SSCI44817.2019.9002838
M3 - 会议稿件
AN - SCOPUS:85080921946
T3 - 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019
SP - 1982
EP - 1987
BT - 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019
Y2 - 6 December 2019 through 9 December 2019
ER -