部分测量数据丢失时离散时滞模糊系统的H_∞滤波

H_∞ Filtering of Discrete Time-Delay Fuzzy Systems with Missing Data

针对一类T-S离散时滞模糊系统,研究其在部分测量数据出现丢失情形下的H∞滤波问题.假设测量数据丢失现象服从Bernoulli随机二点分布.首先,利用基依赖的Lyapunov泛函方法对滤波误差系统的H∞性能进行分析;然后,利用线性矩阵不等式技巧设计H∞滤波器;最后,举例说明了该方法的有效性.

The problem of H∞ filtering for T-S discrete time-delay fuzzy systems with missing data is investigated. The phenomenon of the missing measurement is assumed to satisfy the Bernoulli random binary distribution. H∞ performance of the filtering error system is analyzed by using a basis-dependent Lyapunov functional approach. Then, linear matrix inequality techniques are utilized to design the desired H∞ filter. Finally, an illustrative example is provided to show the effectiveness of the proposed approach.