利用递推最小二乘法进行了系统系数辨识，并引入遗忘因子以提高TCS的模型跟踪性能。
System parameters were identified by adapting recursion least square method, and the forgetting factor was introduced to improve the model tracing ability of TCS.
反演过程归结为求解非线性最小二乘问题，在使用阻尼最小二乘法求解中提出了一种新的选取阻尼因子的算法。
The inverse process is equivalent to solve a nonlinear least square problem and a new way to choose damping factor is presented in utilizing the damping least square method.
利用随机过程理论研究了遗忘因子最小二乘法(FFLS)的有界收敛性，给出了参数估计误差的上界。
Based on stochastic process theory, the bounded convergence of forgetting factor least square algorithm (FFLS for short) is studied and the upper bound of the parameter tracking error is given.
本文提出了一种利用多变量最小二乘法确定最佳数据平滑因子的方法，建立了优化平滑器特性的数学模型。
The paper presents the multi-variable least square method to determine the optimal factor of data smoothing and its amplitude-frequency characteristics and compares it with the general filter.
研究了广义预测控制的模型反馈校正方法，将递推极大似然法和遗忘因子递推最小二乘法结合起来，给出了一种改进的递推极大似然参数估计算法。
Model feedback correction algorithm of GPC has Benn studied. Combining the RML and forgetting factor RLS, an improved RML parameter estimation method has been given.
研究了渐消记忆递归最小二乘法在背景建立中的应用，修正增益因子，引入更多的背景信息，对复杂背景进行更加完善的预测建立。
Applying the recursive least square method to background rebuild, revising the gain factor and bringing in much information forecast more perfect complex background.
该乘法器的电容量可经电信号连续调节，线性可调范围大、具有稳定的乘积因子。
The effective capacitance value of the multiplier can be continuously controlled by electric signals.
该乘法器的电容量可经电信号连续调节，线性可调范围大、具有稳定的乘积因子。
The effective capacitance value of the multiplier can be continuously controlled by electric signals.
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