Title
Path Tracking Control of Autonomous Vehicles Subject to Deception Attacks via a Learning-Based Event-Triggered Mechanism
Abstract
This article investigates the problem of event-triggered secure path tracking control of autonomous ground vehicles (AGVs) under deception attacks. To relieve the burden of the shareable vehicle communication network and to improve the tracking performance in the presence of deception attacks, a learning-based event-triggered mechanism (ETM) is proposed. Different from existing ETMs, the triggerin...
Year
DOI
Venue
2021
10.1109/TNNLS.2021.3056764
IEEE Transactions on Neural Networks and Learning Systems
Keywords
DocType
Volume
Data models,Communication networks,Symmetric matrices,Mathematical model,Denial-of-service attack,Axles,Autonomous vehicles
Journal
32
Issue
ISSN
Citations 
12
2162-237X
1
PageRank 
References 
Authors
0.35
19
3
Name
Order
Citations
PageRank
Zhou Gu124622.12
Tingting Yin210.35
Zhengtao Ding3315.53