A neuro-dynamic based conflict resolution scheme for Air Traffic Management

Papageorgiou, X; Kyriakopoulos, KJ

dc.contributor.author	Papageorgiou, X	en
dc.contributor.author	Kyriakopoulos, KJ	en
dc.date.accessioned	2014-03-01T02:43:04Z
dc.date.available	2014-03-01T02:43:04Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31211
dc.subject	Air Traffic Management	en
dc.subject	Conflict Resolution	en
dc.subject	Nonlinear Programming	en
dc.subject	Numerical Solution	en
dc.subject	Optimal Solution	en
dc.subject	Neural Network	en
dc.subject.other	Computer simulation	en
dc.subject.other	Neural networks	en
dc.subject.other	Nonlinear programming	en
dc.subject.other	Numerical methods	en
dc.subject.other	Optimal control systems	en
dc.subject.other	Problem solving	en
dc.subject.other	Air Traffic Management	en
dc.subject.other	Conflict resolution	en
dc.subject.other	Air traffic control	en
dc.title	A neuro-dynamic based conflict resolution scheme for Air Traffic Management	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/.2005.1467066	en
heal.identifier.secondary	http://dx.doi.org/10.1109/.2005.1467066	en
heal.identifier.secondary	1467066	en
heal.publicationDate	2005	en
heal.abstract	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. ©2005 IEEE.	en
heal.journalName	Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05	en
dc.identifier.doi	10.1109/.2005.1467066	en
dc.identifier.volume	2005	en
dc.identifier.spage	501	en
dc.identifier.epage	506	en