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.