Open AccessResearch on H∞ Controller of Cyber Attacks and Eventriggering Mechanism
Author(s) -
Linqi Chen,
Yong Gao,
Jan Ma,
Fengjiao Gu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1606/1/012002
Subject(s) - computer science , control theory (sociology) , network packet , artificial neural network , lyapunov function , bernoulli's principle , bandwidth (computing) , controller (irrigation) , data transmission , transmission (telecommunications) , computer network , control (management) , engineering , artificial intelligence , telecommunications , nonlinear system , agronomy , physics , quantum mechanics , biology , aerospace engineering
Aiming at the limited network bandwidth and various cyber attacks, the H ∞ neural network controller triggered by discrete events is studied. In order to further improve the utilization of network bandwidth, the event triggering mechanism is improved by taking advantage of the advantages of event triggering in network transmission. At the same time, due to various uncertain and deliberate network attacks, data tampering and packet loss problems are caused. A new neural network control system model is established based on the attack mode obeying Bernoulli probability and dynamic integration. By using Lyapunov function, sufficient conditions are obtained to ensure the asymptotic stability of the closed-loop system, which meets the requirements of H ∞ . Finally, a numerical example is given to verify the validity of the results.