This paper focus on the design issue of event-based dissipative filter for quantized nonlinear singular systems. To save the communication resource, we employ a dynamic quantizer to quantized the measurement output signal prior to transmitting it to the filter via digital communication. Furthermore, the paper also presents an event-triggered mechanism for determining the transmission of the quantized signal. The intention of this paper is to try to propose an event-triggered filter to ensure that the filtering error system (FES) is admissible and satisfies strictly dissipativity performance, in the presence of dynamic quantization and occurring uncertainties. The Lyapunov function is utilized to establish a sufficient condition for the FES to meet the strictly dissipative performance. Depending on the obtained conditions, the required filter parameters are proposed using the standard linear matrix inequality (LMI) technique. Ultimately, the effectiveness of the developed method is verified by an actual circuit simulation.

中文翻译：

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具有动态量化和事件触发机制的奇异模糊系统的基于耗散性的鲁棒滤波器设计


本文重点研究量化非线性奇异系统基于事件的耗散滤波器的设计问题。为了节省通信资源，我们采用动态量化器对测量输出信号进行量化，然后再通过数字通信将其传输到滤波器。此外，本文还提出了一种事件触发机制来确定量化信号的传输。本文的目的是尝试提出一种事件触发滤波器，以确保在存在动态量化和出现不确定性的情况下，滤波误差系统（FES）是可接受的并满足严格的耗散性能。利用 Lyapunov 函数为 FES 满足严格耗散性能建立充分条件。根据获得的条件，使用标准线性矩阵不等式 (LMI) 技术提出所需的滤波器参数。最终，通过实际电路仿真验证了所开发方法的有效性。