研究一类存在随机测量数据丢失现象的网络化非线性系统的模糊滤波器设计问题,采用T—S模糊模型描述非线性系统,并用已知概率分布的二进制切换序列来描述随机的数据丢失.给出了线性矩阵不等式描述的模糊滤波器存在的条件,该条件保证所设计的模糊滤波器使得滤波误差系统均方指数稳定,并满足期望的耗散性能指标.最后通过一个数字仿真例子来说明设计方法的有效性.
The dissipative fuzzy filter is studied for a class of nonlinear systems with missing data. Takagi -Sugeno (T -S) fuzzy model is adopted to deserib the nonlinear system and the missing measurements are described by a binary switching sequence satisfying a conditional probability distribution. Fuzzy dissipative filter is desinged to guarantee that the filter error systems are exponentially mean - square stable and strict dissipativeness by linear matrix inequality (LMI) approach. A numerical example is provided to illustrate the design developed in this paper.