TY - GEN
T1 - A neuro-dynamic based conflict resolution scheme for Air Traffic Management
AU - Papageorgiou, Xanthi
AU - Kyriakopoulos, Kostas J.
PY - 2005
Y1 - 2005
N2 - The aim of this paper is to study a numerical solution for the 2-D conflict resolution problem in Air Traffic Management (ATM). This numerical solution is achieved using Nonlinear Programming and Neural-Networks. We use a set of optimal solutions obtained by nonlinear programming in order to train the neural network. We validated our methods with simulations and we compared the optimal and suboptimal solutions for the same scenario.
AB - The aim of this paper is to study a numerical solution for the 2-D conflict resolution problem in Air Traffic Management (ATM). This numerical solution is achieved using Nonlinear Programming and Neural-Networks. We use a set of optimal solutions obtained by nonlinear programming in order to train the neural network. We validated our methods with simulations and we compared the optimal and suboptimal solutions for the same scenario.
UR - http://www.scopus.com/inward/record.url?scp=33745186261&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745186261&partnerID=8YFLogxK
U2 - 10.1109/.2005.1467066
DO - 10.1109/.2005.1467066
M3 - Conference contribution
AN - SCOPUS:33745186261
SN - 0780389360
SN - 9780780389366
T3 - Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05
SP - 501
EP - 506
BT - Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05
T2 - 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05
Y2 - 27 June 2005 through 29 June 2005
ER -