This paper aims to design a dissipative fuzzy filter for a class of discrete-time nonlinear networked systems. In order to adopt the limited communication links, we employ an event-triggered scheme to reduce the number of transmitted data in the network by preventing the unnecessary ones from releasing. Due to the digital channel, the data to be transmitted should be quantized and a logarithmic quantizer is employed. Then, when the part of released data is transmitted in the network, data losses is captured by a Bernoulli process. Consequently, the uncomplete data sequence is compensated by the buffer and then send to the filter. During this process, a new random series is developed to help constructing the filtering systems. Thus, a novel method is presented to guarantee the filter error system to be dissipative based on the T–S fuzzy model approach. Finally, an example concerned with Henon mapping system is provided to verify the validity of the proposed design method.

中文翻译：

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具有有限通信链路的非线性网络系统的耗散模糊滤波

本文旨在为一类离散时间非线性网络系统设计一种耗散模糊滤波器。为了采用有限的通信链路，我们采用事件触发方案，通过防止不必要的数据释放来减少网络中传输的数据数量。由于是数字通道，要传输的数据应该被量化并采用对数量化器。然后，当发布的部分数据在网络中传输时，数据丢失被伯努利过程捕获。因此，不完整的数据序列由缓冲区补偿，然后发送到过滤器。在此过程中，开发了一个新的随机系列以帮助构建过滤系统。因此，提出了一种基于 T-S 模糊模型方法来保证滤波器误差系统耗散的新方法。最后，提供了一个关于 Henon 映射系统的例子来验证所提出的设计方法的有效性。