TY - GEN
T1 - Synchronized altitude tracking control of multiple unmanned helicopters
AU - Cui, Rongxin
AU - Ge, Shuzhi Sam
AU - Ren, Beibei
PY - 2010
Y1 - 2010
N2 - In this paper, we consider the synchronized altitude tracking control for multiple helicopters, when the desired trajectory is only available to the leaders. By using the weighted average of the neighbors' states as the reference signal, the adaptive neural network (NN) tracking control is designed for each helicopter. It is shown that, the output tracking error of each helicopter converges to an adjustable neighborhood of origin under the proposed NN control, although some of them do not access the desired tracking trajectory directly. Simulation results are provided to demonstrate the effectiveness of the approach presented.
AB - In this paper, we consider the synchronized altitude tracking control for multiple helicopters, when the desired trajectory is only available to the leaders. By using the weighted average of the neighbors' states as the reference signal, the adaptive neural network (NN) tracking control is designed for each helicopter. It is shown that, the output tracking error of each helicopter converges to an adjustable neighborhood of origin under the proposed NN control, although some of them do not access the desired tracking trajectory directly. Simulation results are provided to demonstrate the effectiveness of the approach presented.
UR - http://www.scopus.com/inward/record.url?scp=77957773836&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:77957773836
SN - 9781424474264
T3 - Proceedings of the 2010 American Control Conference, ACC 2010
SP - 4433
EP - 4438
BT - Proceedings of the 2010 American Control Conference, ACC 2010
T2 - 2010 American Control Conference, ACC 2010
Y2 - 30 June 2010 through 2 July 2010
ER -