Decentralized Adaptive Secure Control of Nonlinear NCSs Under Hybrid Attacks via Event-Triggering

This article is concerned with the event-based secure tracking control issue for a class of nonlinear networked control systems (NCSs) under malicious sensor and actuator attacks. In the sensing channel, a modified event-triggered (ET) control scheme based on a continuous function is developed to resist sparse sensor attacks, which can evade the control design difficulties associated with discontinuous information transmission. Then, a high-order filter with a secure data preselector is presented to obtain reliable state estimation from a group of output measurements. In the actuation channel, the Nussbaum function with different frequencies is adopted to alleviate the influence of the unknown time-varying coefficients caused by actuator attacks, while also reducing control updates. Consequently, the proposed scheme not only alleviates the burden on data transmission and processing but also ensures that all internal signals in the closed-loop system are uniformly bounded. Simulation example verifies the efficiency of the proposed control scheme.