Open AccessMembership‐function‐dependent security control for networked T‐S fuzzy‐model‐based systems against DoS attacks
Author(s) -
Li Xiehuan,
Ye Dan
Publication year - 2020
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/cth2.12048
Subject(s) - denial of service attack , control theory (sociology) , computer science , fuzzy logic , observer (physics) , network packet , controller (irrigation) , lyapunov function , fuzzy control system , control (management) , computer security , artificial intelligence , physics , the internet , quantum mechanics , nonlinear system , world wide web , agronomy , biology
This paper focuses on the observer‐based resilient event‐triggered security control issue for networked T‐S fuzzy‐model‐based systems suffered from energy‐limited Denial‐of‐Service (DoS) attacks. Firstly, a novel resilient adaptive event‐triggered mechanism (AETM) is designed to deal with the packet losses problem induced by energy‐limited DoS attacks. Specifically, the resilient AETM threshold is adaptively updated based on the latest available packages. Secondly, according to Lyapunov theory, membership‐function‐dependent stabilisation criterions are obtained to ensure the control systems are stable with H ∞ performance. Besides, the mismatched premise variables between model and controller are considered, and a slack matrix with the membership functions information is introduced to relax stability conditions. Then, the relationship between allowable duration of DoS attack and resilient AETM parameter is clarified. An algorithm is also presented to derive the resilient AETM parameter and observer‐based controller gains simultaneously. Finally, two examples are provided to demonstrate the effectiveness of the proposed method.