Outlier-resistant quantized control for T-S fuzzy systems under multi-channel-enabled round-robin protocol and deception attacks

In this study, the security quantized control problem is investigated for discrete-time Takagi-Sugeno (T-S) fuzzy systems with deception attacks based on the multi-channel-enabled round-robin (MCERR) protocol. The MCERR protocol breaks through the limitation in the well-known RR protocol where only one signal can be transmitted at every turn. Under MCERR protocol, multiple transmission channels are put to use and a set of sensor nodes can gain access to network. Considering the random deception attacks and the measurement outliers, a new system model is established and a sufficient condition is derived to ensure the stability of the discussed system. Furthermore, an outlier resistant observer-based controller which can mitigate the impact of deception attacks is developed. Besides, the concrete expressions of observer gains and controller gains are obtained. Finally, the effectiveness of the proposed method can be validated by simulation results.

Automated summary

In this study, the security quantized control problem is investigated for discrete-time Takagi-Sugeno (T-S) fuzzy systems with deception attacks based on the multi-channel-enabled round-robin (MCERR) protocol. A new system model is established considering random deception attacks and measurement outliers, and a sufficient condition is derived for system stability. An outlier resistant observer-based controller is developed to mitigate the impact of deception attacks, and the expressions of observer gains and controller gains are obtained. The proposed method's effectiveness is validated through simulation results.