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首页> 外文期刊>IEEE transactions on industrial informatics >Resilient Model Predictive Control of Cyber–Physical Systems Under DoS Attacks
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Resilient Model Predictive Control of Cyber–Physical Systems Under DoS Attacks

机译：DOS攻击下网络物理系统的弹性模型预测控制

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摘要

This article presents a resilient model predictive control (MPC) framework to attenuate adverse effects of denial-of-service (DoS) attacks for cyber-physical systems (CPSs), where the system dynamics is modeled by a linear time-invariant system. A DoS attacker targets at blocking the controller to actuator (C-A) communication channel by launching adversarial jamming signals. We show that, in order to guarantee exponential stability of the closed-loop system, several conditions for resilient MPC should be satisfied. And these established conditions are explicitly related to the duration of DoS attacks and MPC parameters such as the prediction horizon and the terminal constraint. Two key techniques, including the $mu$-step positively invariant set and the modified initial feasible set are exploited for achieving exponential stability in the presence of DoS attacks. Moreover, the maximum allowable duration of the DoS attacker is also obtained by using the $mu$-step positively invariant set. Finally, the effectiveness of the proposed MPC algorithm is verified by simulated studies and comparisons.
机译：本文提出了弹性模型预测控制（MPC）框架，以衰减拒绝服务（DOS）攻击对网络物理系统（CPS）的不利影响，其中系统动态由线性时间不变系统建模。 DOS攻击者通过发射对抗动态信号阻止控制器（C-A）通信信道来实现致动器（C-A）通信信道。我们表明，为了保证闭环系统的指数稳定性，应满足有弹性MPC的若干条件。这些已建立的条件与DOS攻击和MPC参数的持续时间明确相关，例如预测地平线和终端约束。有两个关键技术，包括$ mu $ -step积极不变集和修改的初始可行集合，用于在存在DOS攻击时实现指数稳定性。此外，DOS攻击者的最大允许持续时间也通过使用$ mu $ -step积极不变集来获得。最后，通过模拟研究和比较验证了所提出的MPC算法的有效性。

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