Reach-avoid games for players with damped double integrator dynamics
Mengxin Lyu, Ruiliang Deng, Zongying Shi, Yisheng Zhong

TL;DR
This paper develops optimal strategies for a reach-avoid game involving players with damped double integrator dynamics, using geometric analysis and introducing new concepts like multiple reachable regions and attacker's dominance regions.
Contribution
It introduces a novel framework combining differential game theory with geometric analysis to derive optimal strategies for damped double integrator dynamics in reach-avoid scenarios.
Findings
Derived optimal state-feedback strategies for the game
Introduced the concept of multiple reachable regions and attacker's dominance region
Validated strategies through numerical simulations
Abstract
This paper investigates a reach-avoid game between two players with damped double integrator dynamics. An optimal state-feedback strategy is derived using a differential game framework combined with geometric analysis. To facilitate the analysis, we introduce the concept of multiple reachable region by characterizing the motion of players with damped double integrator dynamics. Based on this, a new type of the attackers dominance region is introduced. We show that distinct strategies are required depending on the location of the terminal position within different areas of the attacker's dominance region. Furthermore, we prove that the proposed strategies satisfy the necessary condition for optimality. Numerical simulations are provided to illustrate the conclusions.
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Taxonomy
TopicsAdaptive Dynamic Programming Control · Extremum Seeking Control Systems · Guidance and Control Systems
