Data-Driven Prescribed Performance Platooning Control Under Aperiodic Denial-of- Service Attacks

被引：1

作者：

Zhang, Peng ^{[1
]}

Wang, Zhenling ^{[1
]}

Che, Weiwei ^{[2
]}

机构：

[1] Qingdao Univ, Sch Automat, Shandong Key Lab Ind Control Technol, Qingdao 266071, Peoples R China

[2] Northeastern Univ, Coll Informat Sci & Engn, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China

来源：

MATHEMATICS | 2024年 / 12卷 / 21期

基金：

中国国家自然科学基金;

关键词：

model-free adaptive control; connected automated vehicles; prescribed performance control; aperiodic DoS attacks; FREE ADAPTIVE-CONTROL; SYSTEMS;

D O I：

10.3390/math12213313

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

This article studies a data-driven prescribed performance platooning control method for nonlinear connected automated vehicle systems (CAVs) under aperiodic denial-of-service (DoS) attacks. Firstly, the dynamic linearization technique is employed to transform the nonlinear CAV system into an equivalent linearized data model. Secondly, to improve the system's transient performance, a prescribed performance transformation (PPT) scheme is proposed to transform the constrained output into the unconstrained one. In addition, an attack compensation mechanism is designed to reduce the adverse impact. Combining the PPT scheme and the attack compensation mechanism, the data-driven adaptive platooning control scheme is proposed to achieve the vehicular tracking control task. Lastly, the merits of the developed control method are illustrated by an actual simulation.

引用

页数：16

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