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

This paper investigates the formation-surrounding control problem of multiagent pursuit-evasion (MPE) games with denial-of-service (DoS) attacks and disturbance. First, a novel prescribed-time observer is developed to estimate the disturbance suffered by the multiagent, which eliminates the assumption of disturbance upper bound. Second, the resilient formation-surrounding control methods are designed for the MPE games under DoS attacks via the reinforcement learning (RL) and improved dynamic event-triggering mechanism (IDETM). In the RL framework, a novel weight updating law without finite/persistent excitation conditions is proposed such that the estimation error of weight can be uniformly ultimately bounded (UUB). In the IDETM, the arc-cotangent function is introduced to improve the inter-event interval into the event-triggering condition. Finally, the effectiveness and advantages of the developed policy are validated by the theoretical analysis and numerical simulations.

Authors

Institutions

Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-06-11
DOI
https://doi.org/10.1109/jiot.2025.3578858
Citations
3
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
4.46

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Hang Xiong, Ying Zhang
3 citations
IEEE Internet of Things Journal
Network Security and Intrusion Detection
4.46
article

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

Hang Xiong, Ying Zhang
article en
3 citations

Abstract

This paper investigates the formation-surrounding control problem of multiagent pursuit-evasion (MPE) games with denial-of-service (DoS) attacks and disturbance. First, a novel prescribed-time observer is developed to estimate the disturbance suffered by the multiagent, which eliminates the assumption of disturbance upper bound. Second, the resilient formation-surrounding control methods are designed for the MPE games under DoS attacks via the reinforcement learning (RL) and improved dynamic event-triggering mechanism (IDETM). In the RL framework, a novel weight updating law without finite/persistent excitation conditions is proposed such that the estimation error of weight can be uniformly ultimately bounded (UUB). In the IDETM, the arc-cotangent function is introduced to improve the inter-event interval into the event-triggering condition. Finally, the effectiveness and advantages of the developed policy are validated by the theoretical analysis and numerical simulations.

IEEE Internet of Things JournalVol. 12(17)
Shanghai Maritime University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 5%
Network Security and Intrusion Detection
4.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Dynamic Event-Triggering Formation-Surrounding Control for Multiagent Pursuit-Evasion Games Under DoS Attacks — Hang Xiong, Ying Zhang · IEEE Internet of Things Journal (2025) | TGRS Research Map | TGRS