网络攻击环境下复杂网络系统的分布式混合触发状态估计

Distributed hybrid-triggered state estimation for complex networked system with network attacks

为了减轻网络负荷和提高网络系统性能,本文基于混合触发传输机制研究了网络对抗攻击环境下的一类具有随机节点的复杂网络系统的H_∞状态估计问题.首先,考虑到系统状态波动较大时,传统事件触发机制会导致丢失一些重要信息,设计了一组分布式混合触发器,然后考虑信息在传输过程中可能发生的随机网络攻击和延迟,建立了一个新的复杂网络系统的状态估计模型,利用Lyapunov稳定性理论和随机分析技术,给出了状态估计系统渐近稳定的充分条件,在此基础上采用线性矩阵不等式的方法得到了状态估计器增益和混合触发器的未知参数.最后利用一个数值仿真验证了所提出的方法的有效性.

A distributed hybrid-triggered H∞ state estimation is investigated for a class of complex networked systems under networked adversarial attacks. First, we propose a hybrid-triggered communication scheme to achieve the right balance between improving the performance of the basic event-triggered scheme and reducing the network burden. Under the hybrid triggered communication scheme, a novel state estimation model is established that assembles the items of triggered functions and networked adversarial attacks. Then, by using a stochastic analysis technique and the Lyapunov stability theory, some sufficient conditions for the stochastic stability of systems are obtained. In addition, a set of desired H∞ estimation gains and trigger parameters can be simultaneously derived by solving some linear matrix inequalities. Finally, a numerical example including five nodes is provided to demonstrate the effectiveness of the proposed approach.