中文摘要：

在这份报纸，全球指数的随机的稳定性基于过滤问题的连续安排获得的柔韧的 L-two-L-infinity 为易于变化时间的参数的随机的中立系统的一个类被学习。首先，随机的变化时间的中立系统被一系列随机的时间常数系统在一些选择时间点描述，然后基于随机的 Lyapunov-Krasovskii 功能的途径，一新全球性，指数地，随机地， stabilizable 标准借助于线性矩阵不平等为每跳的系统被导出。随后，过滤系统的 L-two-L-infinity 为这被设计线性跳系统。最后，连续安排获得的途径被采用为完整的工作区域设计变化时间的过滤器系统。一个模拟例子显示出发达技术的有效性和潜力。

英文摘要：

In this paper, global exponential stochastic stability based continuous gain-scheduled robust L-two-L- infinity filtering problem is studied for a class of stochastic neutral systems subject to time-varying parameters. First, the stochastic time-varying neutral systems are described by a series of stochastic time-constant systems at some selected time points, then based on stochastic Lyapunov-Krasovskii functional approach, a new globally exponentially stochastically stabilizable criterion is derived for each of the jumping system by means of linear matrix inequalities. Subsequently, L- two-L-infinity filtering systems are designed for such linear jump systems. Finally; continuous gain-scheduled approach is employed to design time-varying filter systems for the whole working region. A simulation example shows the effectiveness and potential of the developed techniques.