Decentralized Adaptive Secure Control of Nonlinear NCSs Under Hybrid Attacks via Event-Triggering
针对传感器和执行器遭受恶意攻击的非线性网络化控制系统，提出一种基于事件触发的安全跟踪控制方案，通过改进的事件触发机制和Nussbaum函数分别抵御传感器和作动器攻击，减轻数据传输负担并保证系统信号一致有界。
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.