We focus on the issues related to found a HMM for the behavior of system, and bring forward an algorithm of anomaly detection relied on node.
首先建立了系统运行的HMM,在此模型基础上提出了依赖于节点的异常检测算法。
Model predictive control (MPC) refer to a class of control algorithms that optimize the current input by predicting the future behavior of system based on system dynamic model.
模型预测控制(MPC)是一种根据系统动态模型和历史信息,通过对系统未来行为的预测来优化当前输入的控制策略。
Finite state machine is used for the dynamic behavior of system modeling, which is represented by visual state chart. And the finite state machine is a powerful tool of reaction system modeling.
有限状态机用于对系统的动态行为建模,一般用状态图来可视化表示,是对反应式系统建模的一种强大工具。
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