Secure P2P Nonfragile Sampled-Data Controller Design for Nonlinear Networked System under Sensor Saturation and DoS Attack

The main purpose of this article is to solve secure peak-to-peak (P2P) nonfragile sampled-data controller design problem for nonlinear networked system under sensor saturation and DoS attack, where the considered nonlinear system is described by a T-S fuzzy model. According to the characteristics of DoS attack, a sampling scheme with two different sampling periods is introduced, and the corresponding maximum control update interval is also given based on the sampling periods and the characteristics of DoS attack. From this, we model the closed-loop system as sampled-data system in which the controller is nonfragile. Then, the P2P stability analysis criteria are established, where, for the sensor saturation, a new analysis condition of bounding region is proposed to ensure the measurement output satisfies a given constraint condition under the influence of disturbance, thereby avoiding the problem of sensor saturation. Furthermore, based on this, we give a secure P2P nonfragile sampled-data control scheme to guarantee that the sampled-data system meets the given control performance under the sensor saturation and DoS attack. Finally, an example is proposed to illustrate the advantages of the method.

Automated summary

The article focuses on solving the secure P2P nonfragile sampled-data controller design problem for a nonlinear networked system under sensor saturation and DoS attack, utilizing a T-S fuzzy model. A sampling scheme with two different sampling periods is introduced to combat DoS attacks, and a maximum control update interval is determined based on these sampling periods and the characteristics of the attacks. The article establishes P2P stability analysis criteria and proposes a new analysis condition of bounding region to ensure measurement output satisfies a given constraint condition under sensor saturation. A secure P2P nonfragile sampled-data control scheme is then provided to ensure the system meets control performance requirements in the presence of sensor saturation and DoS attack. An example is presented to illustrate the advantages of the proposed method.