Dynamic Hybrid-Triggered-Based Fuzzy Control for Nonlinear Networks Under Multiple Cyberattacks

This article addresses the problem of dynamic hybrid-triggered control for nonlinear networked control systems. A novel resilient control method is presented to improve network resource utilization and system performance against cyberattacks for the underlying systems. First, a fuzzy-model-based system is established to describe the nonlinear networked systems subject to multiple cyberattacks, external disturbances, parameter uncertainties, and network-induced delays. Then, a resilient dynamic hybrid-triggered scheme is proposed to conserve the network bandwidth and reduce the effect of cyberattacks. A new codesign method of the observer-based fuzzy controller and the resilient dynamic hybrid-triggered scheme is developed. Sufficient conditions in terms of linear matrix inequalities are given such that the closed-loop system is global exponential stable with an
$H_\infty$
disturbances attenuation level. Finally, an example of lateral control in autonomous driving is given to verify the effectiveness of the developed control method.