Reinforcement Learning-Based Cooperative Target Tracking Control of Unmanned Surface Vehicles Under Data Falsification Attacks

Zhaoqing Liu; Xiaohua Ge; Qinglong Qinglong Han; Yu‐Long Wang

doi:10.1109/tiv.2024.3396171

Back

Reinforcement Learning-Based Cooperative Target Tracking Control of Unmanned Surface Vehicles Under Data Falsification Attacks

IEEE Transactions on Intelligent Vehicles: 1-11

Article 2024 English

Abstract

1 min read

This paper deals with the problem of cooperative target tracking control for multiple networked unmanned surface vehicles under data falsification attacks. Firs

Discussion(0)

No comments yet. Be the first to comment.

Related publications

Article2022

Fixed-Time Resilient Edge-Triggered Estimation and Control of Surface Vehicles for Cooperative Target Tracking Under Attacks

Shengnan Gao, Zhouhua Peng, Lu Liu, Dan Wang, Qinglong Qinglong Han

IEEE Transactions on Intelligent Vehicles

Article2022

Secure and collision-free multi-platoon control of automated vehicles under data falsification attacks

Shunyuan Xiao, Xiaohua Ge, Qinglong Qinglong Han, Yijun Zhang

Automatica

Article2023

Secure Cooperative Path Following of Autonomous Surface Vehicles Under Cyber and Physical Attacks

Zhaoqing Liu, Xiaohua Ge, Qinglong Qinglong Han, Yu‐Long Wang, Xian‐Ming Zhang

Article2022

Network-Based Multiple Operating Points Cooperative Dynamic Positioning of Unmanned Surface Vehicles

Zhaoqing Liu, Yu‐Long Wang, Qinglong Qinglong Han, Yanping Yang

Article2020

Networked Cooperative Dynamic Positioning of Multiple Unmanned Surface Vehicles

Zhaoqing Liu, Yu‐Long Wang, Qinglong Qinglong Han

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society