伯努利多丢包的网络控制系统量化 H_(∞)滤波

Quantized H_(∞)filtering for networked control systems withBernoulli multiple packet dropouts

针对多通道丢包的网络,探讨了量化H_(∞)滤波问题。首先,利用静态对数量化器量化网络数据,将多通道丢包刻画为伯努利序列;然后利用增广模型构建滤波误差系统,运用李雅普诺夫函数推导出滤波误差系统随机稳定的不等式判据并引入凸优化计算滤波器参数。最后,通过LMI工具验证滤波器的可行性。

Aiming at the multiple packet dropouts in the network,this study discusses the quantized H_(∞)filtering problem.First of all,a static logarithmic quantizer is used to quantify the network data,and the multiple packet dropouts satisfy Bernoulli sequence.Then,the filtering error system is constructed by using the augmented model,and the inequality criterion for stochastic stability of the filtering error system is derived by Lyapunov function,and filter parameters are calculated by convex optimization.Finally,the feasibility of the filter is verified by LMI tool.