摘要
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.
作者
马运强
甘泉
MA Yunqiang;GAN Quan(School of Electrical Engineering,Anhui Technical College of Mechanical and Electrical Engineering,Wuhu 241000,China)
出处
《青岛理工大学学报》
CAS
2022年第5期149-156,共8页
Journal of Qingdao University of Technology
基金
安徽省级质量工程项目(2020dsgzs12)
安徽职业教育提质培优行动计划项目(2020tzpy1801-1)。
关键词
量化
滤波器
伯努利
丢包
随机稳定
quantized
filtering
Bernoulli
packet dropouts
stochastic stability
