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An Inverse Differential Game Approach to Modelling Bird Mid-Air Collision Avoidance Behaviours<sup>⁎</sup>

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Molloy, Timothy L.
Garden, Grace S.
Perez, Tristan
Schiffner, Ingo
Karmaker, Debajyoti
Srinivasan, Mandyam V.

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In this paper, we investigate an inverse differential game approach to modelling the mid-air collision avoidance behaviours of birds. We propose a general method for estimating the cost-functional parameters of a noncooperative differential game from partial-state measurements of an open-loop Nash equilibrium. We apply the method to data of birds performing mid-air collision avoidance. Our analysis suggests that a differential game model provides a close description of the observed bird behaviours, and could provide new insights for the design of collision avoidance strategies for unmanned aircraft.

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18th IFAC Symposium on System Identification SYSID 2018: Stockholm, Sweden, 9-11 July 2018

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