Huarong Zhao
Dynamic Event-Triggered Resilient Heading Control for Unmanned Surface Vehicle With Encrypted Data
Zhao, Huarong; Xu, Dezhi; Zhou, Zhigang; Yu, Hongnian
Abstract
This paper studies data-driven dynamic event-triggered heading control issues for an unmanned surface vehicle (USV) with enciphered data and aperiodic denial of service (DoS) attacks. First, we establish a compact form dynamic linearization model for the USV by employing the control input and a formulated virtual output. Next, we design a quantization-based encoding-decoding scheme, in which the data is quantized and encoded before transmission and decoded upon reception by the controller. This approach not only compresses data bits but also prevents information leakage. Meanwhile, we design a dynamic variate and develop a dynamic event-triggered mechanism to reduce the communication burden. Moreover, we employ a radial basis function neural network (RBFNN) to create an RBFNN-based compensation method to offset the effects of aperiodic DoS attacks. As a result, we propose a data-driven dynamic event-triggered resilient heading control (DET-RHC) approach, and we rigorously prove its convergence. Additionally, we verify the effectiveness of the proposed DET-RHC method through several simulation studies.
Citation
Zhao, H., Xu, D., Zhou, Z., & Yu, H. (in press). Dynamic Event-Triggered Resilient Heading Control for Unmanned Surface Vehicle With Encrypted Data. IEEE Transactions on Intelligent Vehicles, https://doi.org/10.1109/tiv.2024.3358789
Journal Article Type | Article |
---|---|
Online Publication Date | Jan 26, 2024 |
Deposit Date | Feb 5, 2024 |
Journal | IEEE Transactions on Intelligent Vehicles |
Print ISSN | 2379-8858 |
Electronic ISSN | 2379-8904 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1109/tiv.2024.3358789 |
Keywords | Unmanned surface vehicle, data-driven heading control, dynamic event-triggered, encoding-decoding scheme |
Public URL | http://researchrepository.napier.ac.uk/Output/3500010 |
You might also like
Predicting the relationships between virtual enterprises and agility in supply chains
(2017)
Journal Article
A practical multi-sensor activity recognition system for home-based care
(2014)
Journal Article
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search