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

被引：3
作者：
Chen, Liping [1 ]
Sun, Minghua [2 ]
Wang, Li [3 ]
机构：
[1] Jimei Univ, Sch Ocean Informat Engn, Xiamen, Peoples R China
[2] Jimei Univ, Coll Nav, Xiamen 361021, Fujian, Peoples R China
[3] Dept Youth League Comm, Jinan Vocat Coll Engn, Jinan, Peoples R China
来源：
POLISH MARITIME RESEARCH | 2024年 / 31卷 / 01期
关键词：
Unmanned underactuated surface vessels; False data injection attacks; Internal and external uncertainty; Finite-time control; Event-triggered control;
D O I：
10.2478/pomr-2024-0012
中图分类号：
U6 [水路运输]; P75 [海洋工程];
学科分类号：
0814 ; 081505 ; 0824 ; 082401 ;
摘要：
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.
引用
收藏
页码：114 / 126
页数：13
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[1]   Model-Based Event-Triggered Tracking Control of Underactuated Surface Vessels With Minimum Learning Parameters [J].
Deng, Yingjie ;
Zhang, Xianku ;
Im, Namkyun ;
Zhang, Guoqing ;
Zhang, Qiang .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 31 (10) :4001-4014
[2]   Global output feedback control of dynamically positioned surface vessels: an adaptive control approach [J].
Fang, Y ;
Zergeroglu, E ;
de Queiroz, MS ;
Dawson, DM .
MECHATRONICS, 2004, 14 (04) :341-356
[3]   Predictive compensator based event-triggered model predictive control with nonlinear disturbance observer for unmanned surface vehicle under cyber-attacks [J].
Feng, Na ;
Wu, Defeng ;
Yu, Hongliang ;
Yamashita, Andre S. ;
Huang, Youqiang .
OCEAN ENGINEERING, 2022, 259
[4]   Tracking control of ship at sea based on MPC with virtual ship bunch under Frenet frame [J].
Han, Xu ;
Zhang, Xianku .
OCEAN ENGINEERING, 2022, 247
[5]   A Game-Theoretic Approach to Cross-Layer Security Decision-Making in Industrial Cyber-Physical Systems [J].
Huang, Kaixing ;
Zhou, Chunjie ;
Qin, Yuanqing ;
Tu, Weixun .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (03) :2371-2379
[6]   Error-Driven-Based Nonlinear Feedback Recursive Design for Adaptive NN Trajectory Tracking Control of Surface Ships With Input Saturation [J].
Ma, Yong ;
Zhu, Guibing ;
Li, Zhixiong .
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2019, 11 (02) :17-28
[7]   Fault-tolerant control of underactuated MSVs based on neural finite-time disturbance observer: An Event-triggered Mechanism [J].
Meng, Xiangfei ;
Zhang, Guichen ;
Han, Bing .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2024, 361 (04)
[8]   Event-triggered adaptive command-filtered trajectory tracking control for underactuated surface vessels based on multivariate finite-time disturbance observer under actuator faults and input saturation [J].
Meng, Xiangfei ;
Zhang, Guichen ;
Zhang, Qiang ;
Han, Bing .
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2025, 47 (08) :1481-1491
[9]   Event-triggered trajectory tracking control of underactuated surface vessels with performance-improving mechanisms under input saturation and actuator faults [J].
Meng, Xiangfei ;
Zhang, Guichen ;
Zhang, Qiang .
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2023,
[10]   Robust adaptive neural network integrated fault-tolerant control for underactuated surface vessels with finite-time convergence and event-triggered inputs [J].
Meng, Xiangfei ;
Zhang, Guichen ;
Zhang, Qiang .
MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2023, 20 (02) :2131-2156
123