Security fuzzy control for nonlinear networked systems with multichannel DoS attacks and actuator saturation

In this study, an interval-type-2 (IT-2) fuzzy controller for nonlinear networked control systems (NNCSs) under multichannel denial-of-service (DoS) attacks is designed. First, an NNCS is modeled as an IT-2 fuzzy control system, and uncertainty is introduced into the NNCS. Second, DoS attacks are performed simultaneously in the sampler-to-controller channel and the controller-to-actuator channel. The DoS attacks are modeled via the Bernoulli distribution. Owing to the limited performance of the actuator and because DoS attacks introduce large amounts of useless data, the actuator needs to process large amounts of data; thus, this study considers the actuator saturation problem. Finally, to alleviate the pressure of channel transmission data and improve the utilization of network resources, an improved adaptive event-triggered mechanism (AETM) is proposed. Considering the above situation, a closed-loop system is established, and an IT-2 fuzzy controller is designed for the system. The simulation results for the IT-2 fuzzy control system prove the validity of the controller design proposed in this paper.