Distributed Filtering for Fuzzy Time-Delay Systems With Packet Dropouts and Redundant Channels
研究了一类离散时间Takagi-Sugeno模糊时变时滞系统的分布式H∞滤波问题，传感器节点间通过冗余通道通信，并考虑随机数据包丢失和不确定丢失率，利用小增益定理给出了滤波器存在的充分条件。
This paper is concerned with the distributed H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> filtering problem for a class of discrete-time Takagi-Sugeno fuzzy systems with time-varying delays. The data communications among sensor nodes are equipped with redundant channels subject to random packet dropouts that are modeled by mutually independent Bernoulli stochastic processes. The practical phenomenon of the uncertain packet dropout rate is considered, and the norm-bounded uncertainty of the packet dropout rate is asymmetric to the nominal rate. Sufficient conditions on the existence of the desired distributed filters are established by employing the scaled small gain theorem to ensure that the closed-loop system is stochastically stable and achieves a prescribed average H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> performance index. Finally, an illustrative example is provided to verify the theoretical findings.