An Inverse Differential Game Approach to Modelling Bird Mid-Air Collision Avoidance Behaviours

被引：6

作者：

Molloy, Timothy L. ^{[1
]}

Garden, Grace S. ^{[2
]}

Perez, Tristan ^{[1
]}

Schiffner, Ingo ^{[3
,4
]}

Karmaker, Debajyoti ^{[3
]}

Srinivasan, Mandyam V. ^{[3
]}

机构：

[1] Queensland Univ Technol, Sch Elect Engn & Comp Sci, Brisbane, Qld, Australia

[2] Boeing Res & Technol Australia, St Lucia, Qld, Australia

[3] Univ Queensland, Queensland Brain Inst, St Lucia, Qld, Australia

[4] Hebrew Univ Jerusalem, Dept Ecol Evolut & Behav, Minerva Ctr Movement Ecol, Jerusalem, Israel

来源：

IFAC PAPERSONLINE | 2018年 / 51卷 / 15期

基金：

澳大利亚研究理事会;

关键词：

Aerospace; Biocybernetics; Differential games; Game theory; Nash games;

D O I：

10.1016/j.ifacol.2018.09.164

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：754 / 759

页数：6

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