TY - GEN
T1 - Adaptive consensus disturbance rejection for multi-agent systems on directed graphs
AU - Sun, Junyong
AU - Geng, Zhiyong
AU - Lv, Yuezu
AU - Li, Zhongkui
AU - Ding, Zhengtao
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016
Y1 - 2016
N2 - In this paper, the adaptive consensus disturbance rejection problem is considered for the liner multi-agent systems under directed graphs. Based on the relative state information of the neighboring agents, the consensus protocols, including a state observer and a disturbance observer, are designed to guarantee that the consensus error goes to zero with the complete disturbance rejection. Furthermore, the state observer is designed in a fully distributed fashion with adaptive coupling gain, which has the advantage that the consensus protocol design is independent of the Laplacian matrix associated with the communication network. Finally, an example is given to verify the effectiveness of the theoretical results.
AB - In this paper, the adaptive consensus disturbance rejection problem is considered for the liner multi-agent systems under directed graphs. Based on the relative state information of the neighboring agents, the consensus protocols, including a state observer and a disturbance observer, are designed to guarantee that the consensus error goes to zero with the complete disturbance rejection. Furthermore, the state observer is designed in a fully distributed fashion with adaptive coupling gain, which has the advantage that the consensus protocol design is independent of the Laplacian matrix associated with the communication network. Finally, an example is given to verify the effectiveness of the theoretical results.
UR - http://www.scopus.com/inward/record.url?scp=85015177602&partnerID=8YFLogxK
U2 - 10.1109/ICARCV.2016.7838698
DO - 10.1109/ICARCV.2016.7838698
M3 - Conference contribution
AN - SCOPUS:85015177602
T3 - 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
BT - 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
Y2 - 13 November 2016 through 15 November 2016
ER -