This paper investigates the peak-to-peak filtering problem for a class of networked nonlinear dc motor systems with quantization. The nonlinear dc motor system is modeled by a Takagi-Sugeno (T-S) fuzzy model. Consider that the measurement output signal and the performance output signal of the system are quantized by two static quantizers before being transmitted by the digital communication channel, respectively. Attention is focused on the design of a peak-to-peak filter such that the filtering error system is asymptotically stable and satisfies the prescribed peak-to-peak filtering performance index. Sufficient conditions for such a peak-to-peak filter are expressed in the form of linear matrix inequalities. Finally, an illustrative simulation is given to show the effectiveness of the proposed approach.

中文翻译：

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具有量化功能的网络非线性直流电机系统的峰峰值滤波


本文研究了一类量化网络非线性直流电机系统的峰峰值滤波问题。非线性直流电机系统采用 Takagi-Sugeno (TS) 模糊模型进行建模。考虑系统的测量输出信号和性能输出信号在通过数字通信信道传输之前分别由两个静态量化器量化。重点关注峰峰滤波器的设计，使得滤波误差系统渐近稳定并满足规定的峰峰滤波性能指标。这种峰峰值滤波器的充分条件以线性矩阵不等式的形式表示。最后，给出了说明性模拟以显示所提出方法的有效性。