Dissipative Fuzzy Filtering for Nonlinear Networked Systems With Limited Communication Links
针对离散时间非线性网络系统，设计了一种耗散模糊滤波器，采用事件触发和量化通信减少数据传输，并用伯努利过程处理数据丢失，最后通过Henon映射系统验证了方法的有效性。
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 eventtriggered 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.