Li Xiao-Meng, Yao Deyin, Li Panshuo, Meng Wei, Li Hongyi, Lu Renquan
IEEE Trans Cybern. 2022 Sep;52(9):9230-9239. doi: 10.1109/TCYB.2021.3052467. Epub 2022 Aug 18.
The problem of secure finite-horizon consensus control for discrete time-varying multiagent systems (MASs) with actuator saturation and cyber attacks is addressed in this article. A random attack model is first proposed to account for randomly occurring false data injection attacks and denial-of-service attacks, whose dynamics are governed by the random Markov process. The hybrid secure control scheme is developed to mitigate the influence of arbitrary cyber attacks on system performance. Specifically, this article proposes a hybrid control law containing multiple controllers, each of which is designed to counter different types of cyber attacks. By using the stochastic analysis approach, two sufficient criteria are provided to guarantee that the time-varying MASs satisfy the finite horizon H consensus performance. Then, the controller parameters are obtained by solving the recursive linear matrix inequality. The usefulness of the theoretic results presented is demonstrated via a numerical example that contains a performance comparison of different secure control schemes.
本文研究了具有执行器饱和和网络攻击的离散时变多智能体系统（MASs）的安全有限时域一致性控制问题。首先提出了一种随机攻击模型，以考虑随机发生的虚假数据注入攻击和拒绝服务攻击，其动态由随机马尔可夫过程控制。开发了混合安全控制方案，以减轻任意网络攻击对系统性能的影响。具体而言，本文提出了一种包含多个控制器的混合控制律，每个控制器旨在应对不同类型的网络攻击。通过使用随机分析方法，提供了两个充分准则，以确保时变MASs满足有限时域H一致性性能。然后，通过求解递归线性矩阵不等式获得控制器参数。通过一个包含不同安全控制方案性能比较的数值例子，证明了所提出理论结果的有效性。
