中文摘要：

这篇论文涉及在取样的大小下面在不明确的系统上过滤的柔韧的 H 无穷的问题，两连续骚乱；分离骚乱在系统被考虑。参数不确定性被假定变化时间围住标准。目的是设计一个 asymptotically 稳定的过滤器，用局部地取样的大小，它两个都保证柔韧的 asymptotic 稳定性；为为所有可被考虑的不确定性的过滤错误动力学的 H 无穷性能的规定水平。推导进程被介绍辅助系统简化；为如此的一个过滤器的存在的足够的条件被建议。在学习期间，主要结果被采用各种各样的矩阵技术表示为 LMI。用 Matlab 软件的 LMI 工具箱，获得适当过滤器是很方便的。最后，一个数字例子证明方法是有效的；可行。

英文摘要：

This paper is concerned with the problem of robust H-infinity filtering on uncertain systems under sampled measurements, both continuous disturbance and discrete disturbance are considered in the systems. The parameter uncertainty is assumed to be time-varying norm-bounded. The aim is to design an asymptotically stable filter, using the locally sampled measurements, which ensures both the robust asymptotic stability and a prescribed level of H-infinity performance for the filtering error dynamics for all admissible uncertainties. The derivation process is simplified by introducing auxiliary systems and the sufficient condition for the existence of such a filter is proposed. During the study, the main results were expressed as LMIs by employing various matrix techniques. Using LMI toolbox of Matlab software, it is very convenient to obtain the appropriate filter. Finally, a numerical example shows that the method is effective and feasible.