A Neuro-Dynamic Based Conflict Resolution Scheme for Air Traffic Management

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

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