TY - GEN
T1 - Finite time formation control for multi-agent systems with event-triggered control scheme
AU - Zhou, Ding
AU - Zhang, An
AU - Bi, Wenhao
N1 - Publisher Copyright:
© 2019, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
PY - 2019
Y1 - 2019
N2 - In this paper, finite time formation control problems with fixed topology and switching topologies are addressed. To reduce unnecessary energy consumption and frequency of con-troller’s update, a distributed finite time consensus algorithm is designed by employing event-triggered control and a triggering function is constructed. Rigorous proof is given by Lyapunov stability theory and finite time stability theory. Zeno behavior does not exist by using the proposed algorithm. Moreover, on the basis of the finite-time consensus algorithm, a finite-time formation control algorithm is designed, which can control a group of agents to track the leader and maintain the formation shape. By utilizing feedback linearization, the model of unmanned aerial vehicle is transformed into an accurate linearization model. Finally, application into unmanned aerial vehicle formation control is given to demonstrate the effectiveness of results.
AB - In this paper, finite time formation control problems with fixed topology and switching topologies are addressed. To reduce unnecessary energy consumption and frequency of con-troller’s update, a distributed finite time consensus algorithm is designed by employing event-triggered control and a triggering function is constructed. Rigorous proof is given by Lyapunov stability theory and finite time stability theory. Zeno behavior does not exist by using the proposed algorithm. Moreover, on the basis of the finite-time consensus algorithm, a finite-time formation control algorithm is designed, which can control a group of agents to track the leader and maintain the formation shape. By utilizing feedback linearization, the model of unmanned aerial vehicle is transformed into an accurate linearization model. Finally, application into unmanned aerial vehicle formation control is given to demonstrate the effectiveness of results.
UR - http://www.scopus.com/inward/record.url?scp=85083944592&partnerID=8YFLogxK
U2 - 10.2514/6.2019-0659
DO - 10.2514/6.2019-0659
M3 - 会议稿件
AN - SCOPUS:85083944592
SN - 9781624105784
T3 - AIAA Scitech 2019 Forum
BT - AIAA Scitech 2019 Forum
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA Scitech Forum, 2019
Y2 - 7 January 2019 through 11 January 2019
ER -