给出了一种基于模糊自适应滤波器的非线性噪声对消系统。
A noise cancellation system based on fuzzy adaptive filter is presented in this paper.
提出了一种利用模糊逻辑控制器来在线调节卡尔曼滤波器的自适应数据融合方法，并着重研究了其在GPS/INS组合导航中的应用。
This paper presents an adaptive data fusion method which uses a fuzzy logic controller to online adjust the Kalman filter, and focuses on its application to the integrated GPS/INS navigation.
该控制器是在典型推断控制的基础上进行简化和改进，并用模糊逻辑和推理来自适应地调节控制器的滤波器时间常数。
The controller is derived from the simplification and improvement of the typical inferential controller, and in which fuzzy logic and inference are used to adjust its filter time constant adaptively.
该算法克服了模糊交互多模型算法精度较低和当前统计模型自适应滤波器方差调整有限的缺点。
This algorithm overcomes the weakness of the FIMM with low estimation accuracy and the limitations of the adaptive filter based on the "current"statistical model.
在此基础上，重点对有源电力滤波器的模糊自适应PI控制方法进行了分析。
Based on the foregoing content, it emphases analyses fuzzy self-adapted PI control method of APF.
该控制器是在典型推断控制的基础上进行简化和改进，并用模糊逻辑和推理来自适应地调节控制器的滤波器时间常数。
The internal model control(IMC)was improved by using fuzzy control to adjust filter time constant of IMC, and it was applied in boiler combustion system.
该控制器是在典型推断控制的基础上进行简化和改进，并用模糊逻辑和推理来自适应地调节控制器的滤波器时间常数。
The internal model control(IMC)was improved by using fuzzy control to adjust filter time constant of IMC, and it was applied in boiler combustion system.
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