入侵干扰后失稳网络的稳定与镇定控制仿真

Simulation of Stability and Equanimity Control of Instable Network after Invasion

在网络控制稳定性能的研究中,网络入侵带有极强的破坏不可控性,当前的网络都是闭环的反馈控制系统,在被入侵后网络存在冲突、网络稳定性差、限制数据带宽等不可控因素,造成网络失稳。传统的网络失稳控制方法对事前入侵有着较好的防治,一旦网络被入侵后,网络波动性会超出控制范围,控制阀值无法起到最优控制作用。在研究随机长失稳的网络控制系统状态反馈规律基础上,提出一种随机长失稳网络入侵波动后的稳定与镇定方法,运用增广矩阵对随机长失稳的闭环网络控制系统进行建模。利用两个马尔可夫链对具有随机长失稳的闭环网络控制系统中的两个通道包括反馈通道和前向通道中的网络失稳进行控制,完成网络的稳定与镇定。通过仿真验证了结论的有效性。

In the research of network control stability performance, network intrusion has strongly destructive and uncontrollable. Due to the current network is a closed -loop feedback control system, after the invasion, there exist some uncontrollable factors in the network, such as conflict, poor stability, limited data bandwidth, resulting in instable network. Based on the study of state feedback law of random length instable network control system, a stability and stabilization method for the random length instable network after intrusion fluctuations was proposed. The aug- mented matrix was used for modeling of random length instable closed - loop network control system. Two Markov chains were employed to control the network instability of two channels （ including the feedback channel and forward channel） in random length instable closed -loop network control system, thereby completing the stability and equanimity of network. The simulation was applied to demonstrate the effectiveness of conclusion.