基于量化丢包的模糊时滞系统的H_∞滤波器设计

Networked H_∞ Filtering for T-S Fuzzy Systems with Quantization and Data Dropouts

该文主要研究模糊离散系统的H∞滤波器设计问题。与其他研究不同的是,该文考虑的时滞是系统自带的,且考虑了量化和丢包。用对数量化器来解决网络带宽有限问题,并构造了特殊的模糊Lyapunov函数来使系统达到渐近稳定。最后给出了一个数值例子,并用Matlab仿真证明了该算法的有效性。

In this paper , we consider the problem of H∞ filtering for T-S fuzzy systems （ FS） .Compared with others＆#39;research , the time delay considered in it is the system＆#39;s, beyond that , quantization and packet dropouts have also been considered .We use the logarithmic quantizer to deal with the problem of limited bandwidth . Then we construct a special fuzzy Lyapunov function , so the system can achieve asymptotically stable .Finally, a numerical example is given to illustrate the feasibility of the proposed approach .