TY - JOUR
T1 - Multileader Multiagent Systems Containment Control with Event-Triggering
AU - Xu, Yong
AU - Fang, Mei
AU - Shi, Peng
AU - Pan, Ya Jun
AU - Ahn, Choon Ki
N1 - Funding Information:
Manuscript received September 24, 2018; revised December 21, 2018; accepted February 5, 2019. Date of publication March 12, 2019; date of current version February 17, 2021. This work was supported in part by the Fundamental Research Funds for the Central Universities under Grant 2018FZA5009, in part by the National Science Foundation under Grant ECCS-1611423, and in part by the National Research Foundation of Korea through the Ministry of Science, ICT and Future Planning under Grant NRF-2017R1A1A1A05001325. This paper was recommended by Associate Editor Z.-G. Wu. (Corresponding author: Mei Fang.) Y. Xu is with the State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University (Yuquan Campus), Hangzhou 310027, China (e-mail: xyzstu@126.com).
Publisher Copyright:
© 2013 IEEE.
PY - 2021/3
Y1 - 2021/3
N2 - This paper studies the event-triggered containment control (CC) problem of multiagent systems with a directed graph, where the followers' communication graph is an undirected graph. A novel event-triggered CC protocol is presented to schedule communications between agents, which depends on both local states and control inputs. Different from traditional approaches using broadcasts, a unique property of the proposed protocol is that it enables agent-to-agent data transmission. To do so, each communication link is associated with a specific local event. The estimated relative interagent states are transmitted over a specific link only when the related input-based event is detected. We develop sufficient conditions to solve CC problem under this protocol and extend it to the adaptive event-triggered protocol that does not require the global knowledge on the smallest positive eigenvalue of the Laplacian. For both protocols, we derive positive low bounds on the interevent time intervals generated by individual events, which eliminate the 'Zeno phenomenon.' Feasibility of the proposed algorithm is verified by an example.
AB - This paper studies the event-triggered containment control (CC) problem of multiagent systems with a directed graph, where the followers' communication graph is an undirected graph. A novel event-triggered CC protocol is presented to schedule communications between agents, which depends on both local states and control inputs. Different from traditional approaches using broadcasts, a unique property of the proposed protocol is that it enables agent-to-agent data transmission. To do so, each communication link is associated with a specific local event. The estimated relative interagent states are transmitted over a specific link only when the related input-based event is detected. We develop sufficient conditions to solve CC problem under this protocol and extend it to the adaptive event-triggered protocol that does not require the global knowledge on the smallest positive eigenvalue of the Laplacian. For both protocols, we derive positive low bounds on the interevent time intervals generated by individual events, which eliminate the 'Zeno phenomenon.' Feasibility of the proposed algorithm is verified by an example.
KW - Containment control (CC)
KW - event-triggered control (ETC)
KW - multiagent systems
UR - http://www.scopus.com/inward/record.url?scp=85101086133&partnerID=8YFLogxK
U2 - 10.1109/TSMC.2019.2899967
DO - 10.1109/TSMC.2019.2899967
M3 - Article
AN - SCOPUS:85101086133
SN - 2168-2216
VL - 51
SP - 1642
EP - 1651
JO - IEEE Transactions on Systems, Man, and Cybernetics: Systems
JF - IEEE Transactions on Systems, Man, and Cybernetics: Systems
IS - 3
M1 - 8666131
ER -