TY - GEN
T1 - Reach-Avoid Differential Games via Finite-Time Heading Tracking
AU - Lai, Haowen
AU - Yan, Rui
AU - Zhang, Weixian
AU - Shi, Zongying
AU - Zhong, Yisheng
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - This paper considers a one-defender-one-attacker reach-avoid differential game (DG) in the plane which is split by a straight line into a goal region and a play region. The attacker aims at entering the goal region from the play region without being captured, while the defender tries to capture the attacker in the play region. We focus on the defense problem where the defender is a Dubins car with non-zero capture radius and the attacker is a simple-motion model. First, a controller is proposed for the defender to track a heading reference which is derived from an evasion space (ES)-based defense strategy. Then, the upper bounds for the time derivative of the heading reference are computed. Based on it, we show that the defender can succeed to track the heading reference within a finite time. Finally, both simulation and experiment examples are provided, where a vision-based re-localization method is used for the experiment to deal with the coordinate inconsistency problem.
AB - This paper considers a one-defender-one-attacker reach-avoid differential game (DG) in the plane which is split by a straight line into a goal region and a play region. The attacker aims at entering the goal region from the play region without being captured, while the defender tries to capture the attacker in the play region. We focus on the defense problem where the defender is a Dubins car with non-zero capture radius and the attacker is a simple-motion model. First, a controller is proposed for the defender to track a heading reference which is derived from an evasion space (ES)-based defense strategy. Then, the upper bounds for the time derivative of the heading reference are computed. Based on it, we show that the defender can succeed to track the heading reference within a finite time. Finally, both simulation and experiment examples are provided, where a vision-based re-localization method is used for the experiment to deal with the coordinate inconsistency problem.
UR - https://www.scopus.com/pages/publications/85126023842
U2 - 10.1109/CDC45484.2021.9683266
DO - 10.1109/CDC45484.2021.9683266
M3 - 会议稿件
AN - SCOPUS:85126023842
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 1656
EP - 1662
BT - 60th IEEE Conference on Decision and Control, CDC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 60th IEEE Conference on Decision and Control, CDC 2021
Y2 - 13 December 2021 through 17 December 2021
ER -