This paper realizes disturbance de-coupled with model error and system uncertainty by using a combination of full-order nonlinear unknown input observer and fault detection filter.
该文设计了全维非线性未知输入观测器，实现检测滤波器对于被控对象模型误差和系统不确定性因素的干扰解耦。
In this paper a method of parameter estimation for nonlinear system is proposed by applying the extended Kalman filter and more satisfactory results are obtained.
本文提出了一种应用推广卡尔曼滤波器来估计非线性系统参数的方法，井获得了较为满意的结果。
GANF is a class of nonlinear adaptive filter achieved by replacing the Boolean function operator with a neural operator.
GANF是用神经运算器代替级叠滤波器中的布尔运算器后得到的一类非线性自适应神经滤波器。
A back and forward filter with steeper transitional band was designed of ellipse function. It can remove nonlinear phase distortion caused by IIR filter.
利用椭圆函数滤波器较陡的过渡带特性设计前向和后向滤波器，消除由于IIR滤波器造成滤波后的数据相位非线性失真。
A back and forward filter with steeper transitional band was designed of ellipse function. It can remove nonlinear phase distortion caused by IIR filter.
利用椭圆函数滤波器较陡的过渡带特性设计前向和后向滤波器，消除由于IIR滤波器造成滤波后的数据相位非线性失真。
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