Sampled Data-Based Observer and Resilient Event-Triggered Controller Design for Cyber-Physical Systems to Mitigate Bounded Mixed Cyber Attacks
针对同时遭受虚假数据注入和拒绝服务攻击的网络物理系统，设计了采样数据观测器来估计状态并重构攻击，结合弹性事件触发机制构建控制器，保证系统在有界混合攻击下渐近有界收敛。
This article addresses the secure control problem for cyber-physical systems (CPSs) subject to energy-bounded mixed network attacks, which comprise both false-data-injection (FDI) attacks and denial-of-service (DoS) attacks occurring simultaneously. To cope with transmission constraints and the unavailability of full state measurements, we design a novel sampled-data observer that concurrently estimates system states and reconstructs FDI attacks, thereby enabling effective attack compensation within the control loop. Moreover, we introduce a resilient event-triggered mechanism (ETM) capable of tolerating energy-bounded DoS attacks. By integrating this mechanism with the proposed observer, we construct an observer-based event-triggered controller that ensures system stability without requiring detailed attack information. The controller guarantees asymptotically bounded convergence under mixed attacks while avoiding restrictive assumptions in the existence analysis. Numerical simulations conducted on a three-tank system and an inverted pendulum system validate the effectiveness and superior performance of the proposed approach compared to existing methods.