Work

Reinforcement-Learning-Based Adaptive Optimized Fixed-Time Containment Control for Multiple QUAVs Under Malicious Attacks: A Flexible Tunnel Constraint Approach

Year: 2025

Type: article

Source: IEEE Internet of Things Journal

DOI: 10.1109/jiot.2025.3598774

Authors: Chenglin Wu, Xiaona Song, Shuai Song, Heng Shi, Choon Ki Ahn

Institutions: Henan University of Science and Technology, Tsinghua University, Korea University

Language: English

Topic: Distributed Control Multi-Agent Systems

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, National Research Foundation of Korea

Awards: G1717331821, G5526615134

OpenAlex ID: W4413468843

FWCI: 0.895

Cites: 47

Cited by: 2

Related to: 10