TY - GEN
T1 - Synchronized tracking control of multi-agent system with limited information
AU - Cui, Rongxin
AU - Ge, Shuzhi Sam
AU - Ren, Beibei
PY - 2010
Y1 - 2010
N2 - In this paper, synchronized tracking control is considered for multiple agents with unknown system dynamics, while the desired trajectory is only available to portion of the team members. Using the weighted average of the neighbors' outputs, adaptive neural network (NN) tracking control is designed for each agent. Rigid mathematical proof was provided for the proposed algorithm based on the Lyapunov analysis. It is shown that, under the proposed NN control, the output tracking error of each agent converges to an adjustable neighborhood of the origin. Simulations of synchronized altitude tracking of multiple unmanned helicopters are provided to demonstrate the effectiveness of the approaches presented.
AB - In this paper, synchronized tracking control is considered for multiple agents with unknown system dynamics, while the desired trajectory is only available to portion of the team members. Using the weighted average of the neighbors' outputs, adaptive neural network (NN) tracking control is designed for each agent. Rigid mathematical proof was provided for the proposed algorithm based on the Lyapunov analysis. It is shown that, under the proposed NN control, the output tracking error of each agent converges to an adjustable neighborhood of the origin. Simulations of synchronized altitude tracking of multiple unmanned helicopters are provided to demonstrate the effectiveness of the approaches presented.
UR - http://www.scopus.com/inward/record.url?scp=79953150552&partnerID=8YFLogxK
U2 - 10.1109/CDC.2010.5717361
DO - 10.1109/CDC.2010.5717361
M3 - Conference contribution
AN - SCOPUS:79953150552
SN - 9781424477456
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 5480
EP - 5485
BT - 2010 49th IEEE Conference on Decision and Control, CDC 2010
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 49th IEEE Conference on Decision and Control, CDC 2010
Y2 - 15 December 2010 through 17 December 2010
ER -