TY - GEN
T1 - Adaptive consensus control of coopetition networks with high-order agent dynamics
AU - Wu, Yanzhi
AU - Hu, Jiangping
AU - Gao, Lixin
AU - Ghosh, Bijoy K.
N1 - Funding Information:
*This work was supported in part by the National Natural Science Foundation of China under Grants 61473061, 71503206, 61104104, the Program for New Century Excellent Talents in University under Grant NCET-13-0091.
Publisher Copyright:
© 2017 IEEE.
PY - 2018/2/7
Y1 - 2018/2/7
N2 - In this paper, we consider consensus control of high-order multi-agent systems with antagonistic interactions and unknown disturbances. The interaction topology associated with the multi-agent system is described by a coopetition network. Linearly parameterized approaches are used to model the unknown disturbances. Some novel transformations are presented to design the distributed adaptive controllers, which guarantees that a bipartite consensus can be achieved for all the agents. At the same time, convergence of the bipartite consensus error is analyzed with the help of signed graph theory and the Barbalat's Lemma. Some simulation results are also provided to demonstrate the effectiveness of the proposed adaptive control strategy.
AB - In this paper, we consider consensus control of high-order multi-agent systems with antagonistic interactions and unknown disturbances. The interaction topology associated with the multi-agent system is described by a coopetition network. Linearly parameterized approaches are used to model the unknown disturbances. Some novel transformations are presented to design the distributed adaptive controllers, which guarantees that a bipartite consensus can be achieved for all the agents. At the same time, convergence of the bipartite consensus error is analyzed with the help of signed graph theory and the Barbalat's Lemma. Some simulation results are also provided to demonstrate the effectiveness of the proposed adaptive control strategy.
UR - http://www.scopus.com/inward/record.url?scp=85047446117&partnerID=8YFLogxK
U2 - 10.1109/ASCC.2017.8287432
DO - 10.1109/ASCC.2017.8287432
M3 - Conference contribution
AN - SCOPUS:85047446117
T3 - 2017 Asian Control Conference, ASCC 2017
SP - 1713
EP - 1718
BT - 2017 Asian Control Conference, ASCC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 11th Asian Control Conference, ASCC 2017
Y2 - 17 December 2017 through 20 December 2017
ER -