Open AccessNon‐fragile H ∞ control for LPV‐based CACC systems subject to denial‐of‐service attacks
Author(s) -
Huang Cong,
Karimi Hamid Reza
Publication year - 2021
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/cth2.12119
Subject(s) - control theory (sociology) , denial of service attack , lyapunov function , controller (irrigation) , computer science , adaptive control , stability (learning theory) , linear matrix inequality , full state feedback , state (computer science) , mathematics , control (management) , mathematical optimization , nonlinear system , algorithm , artificial intelligence , physics , the internet , quantum mechanics , machine learning , world wide web , agronomy , biology
This paper is concerned with a non‐fragile H ∞ state feedback control issue for linear parameter‐varying collaborative adaptive cruise control systems subject to denial‐of‐service attacks. The dynamics of the collaborative adaptive cruise control system is described by a linear model where the deviation of the position and the velocity are selected as the state variables. The attack model is utilized, thereby better reflecting the randomly occurring phenomenon of the denial‐of‐service attacks based on a sequence of binary random variables. The main objective of this note is to develop a non‐fragile state feedback control scheme such that, for denial‐of‐service attacks and possible parameter variations in controller gains, the exponential mean‐square stability and the predefined performance index for the system states are guaranteed simultaneously. By using the matrix analysis techniques and Lyapunov stability theory, sufficient conditions for the desired controller are established and solved based on the solutions to the linear matrix inequality conditions. Finally, a three‐car model is provided to check the feasibility of the designed control scheme.