TY - GEN
T1 - Adaptive Output Consensus Design in Clustered Networks of Heterogeneous Linear Multi-Agent Systems
AU - Pham, Van Thiem
AU - Messai, Nadhir
AU - Nguyen, D. Hoa
AU - Manamanni, Noureddine
N1 - Funding Information:
2D. Hoa Nguyen is with the International Institute for Carbon-Neutral Energy Research (WPI-I2CNER) and the Institute of Mathematics for Industry (IMI), Kyushu University, Fukuoka 819-0395, Japan. E-mail: hoa.nd@i2cner.kyushu-u.ac.jp. *This work is supported by the project 911 − 16638020 funded by Ministry of Education and Training (MOET), Vietnam.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - This paper focuses on the output consensus problem in networks divided into clusters of heterogeneous agents. In each cluster, there exists an agent called a leader, who can instantly communicate with other leaders outside of its cluster. Moreover, each cluster is represented by a fixed and undirected graph. By introducing a dynamic internal reference model for each agent, that takes into account the continuous-time communications among internal reference models in virtual clusters and discrete information exchanges between virtual clusters, an adaptive distributed consensus control protocol is proposed. It is shown that the output consensus problem is indirectly solved through the consensus of the virtual references. Then, a sufficient condition for the internal reference models in virtual clusters is proposed. Next, a sufficient and necessary condition is derived for the output consensus of linear heterogeneous agents in the considered clustered network. Finally, an illustrative example is given to show the effectiveness of the proposed theoretical results.
AB - This paper focuses on the output consensus problem in networks divided into clusters of heterogeneous agents. In each cluster, there exists an agent called a leader, who can instantly communicate with other leaders outside of its cluster. Moreover, each cluster is represented by a fixed and undirected graph. By introducing a dynamic internal reference model for each agent, that takes into account the continuous-time communications among internal reference models in virtual clusters and discrete information exchanges between virtual clusters, an adaptive distributed consensus control protocol is proposed. It is shown that the output consensus problem is indirectly solved through the consensus of the virtual references. Then, a sufficient condition for the internal reference models in virtual clusters is proposed. Next, a sufficient and necessary condition is derived for the output consensus of linear heterogeneous agents in the considered clustered network. Finally, an illustrative example is given to show the effectiveness of the proposed theoretical results.
UR - http://www.scopus.com/inward/record.url?scp=85082478783&partnerID=8YFLogxK
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U2 - 10.1109/CDC40024.2019.9029998
DO - 10.1109/CDC40024.2019.9029998
M3 - Conference contribution
AN - SCOPUS:85082478783
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 5426
EP - 5431
BT - 2019 IEEE 58th Conference on Decision and Control, CDC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 58th IEEE Conference on Decision and Control, CDC 2019
Y2 - 11 December 2019 through 13 December 2019
ER -