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Publication - Professor Arthur Richards

    Self-Organized Model Predictive Control for Air Traffic Management


    Asadi, F & Richards, AG, 2015, ‘Self-Organized Model Predictive Control for Air Traffic Management’. in: Proceedings of the 5th International Conference on Application and Theory of Automation in Command and Control Systems (ATACCS '15): Toulouse, France - September 30-October 02, 2015. Association for Computing Machinery (ACM), New York, NY, USA, pp. 151-159


    In this paper a distributed model predictive control has been proposed for air traffic management problem in which aircraft use optimization to determine their own flight trajectories. The coordination approach of Self-organized Time Division Multiple Access is used to ensure no two aircraft re-plan their trajectories simultaneously. Unlike existing distributed predictive control, which needs a pre-organized optimizing sequence, this new approach requires no central coordination. By also terminating every trajectory with a loitering circle, recursive feasibility and constraint satisfaction, especially separation, can be guaranteed.

    Full details in the University publications repository