文献类型：期刊文献

英文题名：Multi-Agent Target-Attacker-Defender Differential Games With Anomalous Defenders Under Limited Perception

作者：Wang, Jiali[1]; Ho, Daniel W.C.[2]; Jin, Xin[3]; Li, Fangfei[4]; Tang, Yang[1]

机构：[1] East China University of Science and Technology, Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, Shanghai, 200237, China; [2] City University of Hong Kong, Department of Mathematics, Hong Kong; [3] Fudan University, Research Institute of Intelligent Complex Systems, Shanghai, 200433, China; [4] East China University of Science and Technology, School of Mathematics, Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, Shanghai, 200237, China

年份：2025

外文期刊名：IEEE Transactions on Automatic Control

收录：EI(收录号：20254619514350)

语种：英文

外文关键词：Decision making - Inverse problems - Nash equilibrium - Visibility

摘要：This paper investigates Target-Attacker-Defender (TAD) differential games comprising an active target, multiple attackers, and defenders, including some anomalous agents within the defenders' team. Firstly, we introduce two types of anomalous defenders, characterized by coefficients in the performance metrics, termed "greedy" and "fearful." Then, we explore two distinct scenarios: (i) when the attackers possess unlimited observation capabilities while visibility limitations constrain the defenders and target, and (ii) when all agents are subject to imperfect information, meaning they only possess limited visibility. The interactions among agents are modeled as nonzero-sum games to analyze their optimal decision-making processes. Due to the agents' visibility constraints, a corresponding visibility network emerges during their interactions. To address this problem, we employ inverse game theory to derive Nash equilibrium strategies with adaptive state feedback for agents. Furthermore, we analyze the impact of anomalous defenders on the victory conditions and capture time of the defenders' team. Finally, we validate the effectiveness of our results through numerical simulations. ? 1963-2012 IEEE.