摘要：【中文】本发明公开了一种网络化工业控制系统的安全估计方法。现有方法只能定时定点的对系统状态进行监测，难以准确地反映系统的实时运行状态。本发明首先建立网络化工业控制系统状态估计的模型，然后建立安全估计的误差系统模型，最后求解估计器增益矩阵。本发明方法采用基于事件触发策略的复杂网络估计方法，考虑网络攻击对于系统的影响，通过扩展卡尔曼滤波方法设计递归状态估计器，利用求解两个黎卡提差分方程来确定状态估计器的增益矩阵。基于事件触发策略，减轻了大量信息传输造成的网络负担和能量消耗，构造的估计器可以在遭受网络攻击的情况下，实现对系统状态及时准确的估计，为网络化工业控制系统的安全估计、监测及控制提供及时有效的方法。 【EN】The invention discloses a safety estimation method of a networked industrial control system. The existing method can only monitor the system state at fixed time and fixed point, and is difficult to accurately reflect the real-time running state of the system. The method comprises the steps of firstly establishing a model of state estimation of the networked industrial control system, then establishing an error system model of safety estimation, and finally solving an estimator gain matrix. The method adopts a complex network estimation method based on an event trigger strategy, considers the influence of network attack on a system, designs a recursive state estimator by an extended Kalman filtering method, and determines a gain matrix of the state estimator by solving two Riccath differential equations. Based on the event trigger strategy, the network burden and energy consumption caused by a large amount of information transmission are reduced, the constructed estimator can realize timely and accurate estimation of the system state under the condition of suffering network attack, and a timely and effective method is provided for safety estimation, monitoring and control of a networked industrial control system.