Research on H∞ Controller of Cyber Attacks and Eventriggering Mechanism

Abstract

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.