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应用Takagi-Sugeno(T-S)模糊模型,研究了一类离散非线性随机时滞系统的鲁棒模糊滤波问题.在随机稳定性意义下,提出了基于LMI的鲁棒模糊滤波器的系统化设计方法,使相对于所有能量有界的外界干扰信号,滤波误差动态系统的l2-l∞噪声抑制水平小于指定的值.仿真结果表明了所提方法的有效性和可行性.
The problem of robust fuzzy filtering for a class of discrete time-varying nonlinear systems with time-delay is studied by using Takagi-Sugeno (TS) fuzzy model. In the sense of stochastic stability, a systematic design method of robust fuzzy filter based on LMI , So that the l2-l ∞ noise suppression level of the filtering error dynamic system is less than the specified value with respect to all the energy bounding external disturbing signals.The simulation results show the effectiveness and feasibility of the proposed method.