Results 251 to 260 of about 1,951 (305)

Dynamic Event-Triggering Formation-Surrounding Control for Multiagent Pursuit-Evasion Games Under DoS Attacks

IEEE Internet of Things Journal
This article investigates the formation-surrounding control (FSC) problem of multiagent pursuit-evasion (MPE) games with denial-of-service (DoS) attacks and disturbance.
Hang Xiong, Ying Zhang
semanticscholar   +1 more source

Capture zones in a pursuit-evasion game

42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004
Necessary and sufficient conditions for the existence of capture zones in a pursuit-evasion game between a guided missile and its aerial target are derived. Forward canard or aft tail controlled interceptor and target, both having first order biproper transfer functions to represent their closed loop maneuver dynamics, are studied.
openaire   +1 more source

An Isochron-Based Solution to Pursuit–Evasion Games of Two Heterogeneous Players

IEEE Transactions on Automatic Control
In this article, we study a pursuit–evasion game between two players with heterogeneous kinematics, where the pursuer is with damped double-integrator dynamics and the evader is with single-integrator dynamics. The pursuer aims at capturing the evader as
Shuai Li, Chen Wang, Guangming Xie
semanticscholar   +1 more source

Surveillance for Security as a Pursuit-Evasion Game

2014
This work addresses a visibility-based target tracking problem that arises in autonomous surveillance for covert security applications. Consider a mobile observer, equipped with a camera, tracking a target in an environment containing obstacles. The interaction between the target and the observer is assumed to be adversarial in order to obtain control ...
S. Bhattacharya, T. Basar, FALCONE, Maurizio   +2 more
openaire   +3 more sources

One Apollonius Circle is enough for many pursuit-evasion games

Automatica
Alexander von Moll, Dipankar Maity, Daigo Shishika   +2 more
exaly   +2 more sources

Dynamic Historical Data-Based Reinforcement Learning for Pursuit–Evasion Games of Nonholonomic Vehicles With Input Saturation

IEEE Transactions on Systems, Man & Cybernetics. Systems
This article studies the pursuit–evasion game involving nonholonomic vehicles constrained by input saturation, aiming for the pursuer to intercept an evasive opponent.
Fei Zhang, Guang-Hong Yang
semanticscholar   +1 more source

ATT-D3RQN: An Attention-Based Deep RL Framework for Urban Pursuit-Evasion Games

2025 17th International Conference on Communication Software and Networks (ICCSN)
Addressing the challenge of the pursuit-evasion games in one-on-one situations within urban traffic, the Attention-Double Deep Recurrent Q-Network (ATT-D3RQN) is proposed through three methodological innovations.
Hong Gao, Xutong Song, Li-Na Zhu, J. Ben Othman, Changle Li   +4 more
semanticscholar   +1 more source

Learning-Based Robust Evasion for Flexible Mobile Robots in Pursuit-Evasion Games Using Gaussian Processes

European Control Conference
In this paper, a learning-based robust evasion method is proposed to solve the problem of evading strategies from a scalable number of pursuers. The method aims to provide more escape possibilities while overcoming the issue of sparse reward and local ...
Yu-Tong Zhu, Ye Zhang
semanticscholar   +1 more source

On-line solution of a stochastic pursuit-evasion game

Journal of Optimization Theory and Applications, 1979
In this paper, the concepts of prior-commitment and delayed-commitment strategies for zero-sum, linear-quadratic differential games with noise-corrupted measurements are applied to a detailed example of a pursuit-evasion game. Quasilinearization is used to solve the nonlinear two-point boundary-value problem of the prior-commitment game.
Leondes, C. T., Mons, B.
openaire   +1 more source

Fast and the Furious: Hot Starts in Pursuit-Evasion Games

arXiv.org
Effectively positioning pursuers in pursuit-evasion games without prior knowledge of evader locations remains a significant challenge. A novel approach that combines game-theoretic control theory with Graph Neural Networks is introduced in this work.
Gabriel Smithline, Scott Nivison
semanticscholar   +1 more source