文献类型：期刊文献

英文题名：A3C-Based Intelligent Event-Triggering Control of Networked Nonlinear Unmanned Marine Vehicles Subject to Hybrid Attacks

作者：Ye, Zehua[1];Zhang, Dan[1];Wu, Zheng-Guang[2,3];Yan, Huaicheng[4,5]

机构：[1]Zhejiang Univ Technol, Res Ctr Automat & Artificial Intelligence, Hangzhou 310023, Peoples R China;[2]Zhejiang Univ, Inst Cyber Syst & Control, Hangzhou 310027, Peoples R China;[3]Chengdu Univ, Inst Adv Study, Chengdu 610106, Peoples R China;[4]East China Univ Sci & Technol, Minist Educ, Key Lab Smart Mfg Energy Chem Proc, Shanghai 200237, Peoples R China;[5]Hubei Normal Univ, Coll Mechatron & Control Engn, Luangshi 435002, Peoples R China

年份：2022

卷号：23

期号：8

起止页码：12921

外文期刊名：IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

收录：;EI(收录号：20214411103128);WOS:【SCI-EXPANDED(收录号:WOS:000732073400001)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61873237 and in part by the Fundamental Research Funds for the Provincial Universities of Zhejiang under Grant RF-A2019003.

语种：英文

外文关键词：Mathematical models; Marine vehicles; Nonlinear dynamical systems; Vehicle dynamics; Robust control; Uncertainty; Surges; Nonlinear UMV system; T-S fuzzy systems; DoS attack; deception attack; intelligent event-triggering; A3C algorithm

摘要：This paper is concerned with the intelligent event-triggering-based positioning control of networked unmanned marine vehicle (UMV) systems with hybrid attacks, where the UMV and control station is connected by a communication network and the DoS attack and Deception attack are studied. Firstly, a stochastic switched Takagi-Sugeno (T-S) fuzzy system model is proposed for the networked nonlinear UMV systems subject to aperiodic DoS attack and random Deception attack. Then, a novel asynchronous advantage actor-critic (A3C) learning-based event-triggering approach is introduced to alleviate the communication load. By using the Lyapunov stability theory and switched system analysis method, the mean-square exponential stability condition of the closed-loop system and the design method of observer-based controller are devised. Finally, an example of a networked UMV system is given to verify the effectiveness of the proposed resilient control strategy.