Event-Triggered H∞ Filter Design of T-S Fuzzy Systems Subject to Hybrid Attacks and Sensor Saturation

This paper addresses the problem of event-triggered $H_\infty $ filter design for nonlinear systems under both hybrid attacks and sensor saturation. A novel event-triggered mechanism (ETM) is proposed to reduce the number of transmission data per unit time, thereby improving the network QoS and taking the control performance into account. Considering that the deception attack may deteriorate the control performance, ETM is designed to be sensitive to deception attacks, that is, the average data release rate during the deception attack is higher than other periods. Consequently, the control performance can be improved. Moreover, the proposed ETM can reduce the occurrence of erroneous triggering events that are aroused by abnormal abrupt variation. In addition, the denial-of-service (DoS) attack is considered as well. A switching filtering error model is established based on the fact of each period of DoS attack being classified as active period and sleeping period. In addition, the problem of measurement saturation is concerned in filter design. By using Lyapunov-Krasovskii stability theory, sufficient conditions are obtained to guarantee the stability of the fuzzy filtering error system. The effectiveness of filter design methods is finally verified by a simulation example.