<abstract xmlns="http://www.w3.org/1999/xhtml">
<p>The results of studies on a trajectory-tracking problem affected by false data injection attacks (FDIAs) and internal and external uncertainties are presented in this paper. In view of the FDIAs experienced by the system, we compensate for the serious navigation deviation caused by malicious attacks by designing an online approximator. Next, we study the internal and external uncertainties introduced by environmental factors, system parameter fluctuations, or sensor errors, and we design adaptive laws for these uncertainties to approximate their upper bounds. To further enhance the response velocity and stability of the system, we introduce finite-time technology to ensure that the unmanned underactuated surface vessels (USVs) reach the predetermined trajectory-tracking target within finite time. To further reduce the update frequency of the controller, we introduced event-triggered control (ETC) technology. This saves the system’s communication resources and optimizes the system. Through Lyapunov stability theory, a strict and complete stability analysis is provided for the control scheme. Finally, the effectiveness of the control scheme is verified using two sets of simulations.</p>
</abstract>

The results of studies on a trajectory-tracking problem affected by false data injection attacks (FDIAs) and internal and external uncertainties are presented in this paper. In view of the FDIAs experienced by the system, we compensate for the serious navigation deviation caused by malicious attacks by designing an online approximator. Next, we study the internal and external uncertainties introduced by environmental factors, system parameter fluctuations, or sensor errors, and we design adaptive laws for these uncertainties to approximate their upper bounds. To further enhance the response velocity and stability of the system, we introduce finite-time technology to ensure that the unmanned underactuated surface vessels (USVs) reach the predetermined trajectory-tracking target within finite time. To further reduce the update frequency of the controller, we introduced event-triggered control (ETC) technology. This saves the system’s communication resources and optimizes the system. Through Lyapunov stability theory, a strict and complete stability analysis is provided for the control scheme. Finally, the effectiveness of the control scheme is verified using two sets of simulations.

Practical Finite-Time Event-Triggered Control of Underactuated Surface Vessels in Presence of False Data Injection Attacks

Department of Youth League Committee, Jinan Vocational College of Engineering

Polish Maritime Research

This work is licensed under the Creative Commons Attribution 4.0 International License.

The results of studies on a trajectory-tracking problem affected by false data injection attacks (FDIAs) and internal and external uncertainties are presented...

Practical Finite-Time Event-Triggered Control of Underactuated Surface Vessels in Presence of False Data Injection Attacks

Pubblicato online: 29 mar 2024

Pagine: 114 - 126

DOI: https://doi.org/10.2478/pomr-2024-0012

Parole chiave
Unmanned underactuated surface vessels, False data injection attacks, Internal and external uncertainty, Finite-time control, Event-triggered control

© 2024 Liping Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Practical Finite-Time Event-Triggered Control of Underactuated Surface Vessels in Presence of False Data Injection Attacks

Pubblicato online: 29 mar 2024

Pagine: 114 - 126

DOI: https://doi.org/10.2478/pomr-2024-0012

Parole chiaveUnmanned underactuated surface vessels, False data injection attacks, Internal and external uncertainty, Finite-time control, Event-triggered control

© 2024 Liping Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Unmanned underactuated surface vessels, False data injection attacks, Internal and external uncertainty, Finite-time control, Event-triggered control