This paper uses time-varying parameter model and panel data model to analyze the effects of the active fiscal policy on total factor productivity of national economy and provincial economy in China.
利用时变参数模型和面板数据模型，可以对积极财政政策的全要素生产率增长效应进行分析。
The model-free control is especially useful for real nonlinear systems whose model parameter are very difficult to be identified and time varying.
此无模型控制方法非常适用于实际的模型参数难以辨识，且是时变的非线性系统。
Combining a new parameter identification algorithm capable of online time varying delay prediction with internal model control, an adaptive IMC algorithm for time varying delay systems is proposed.
把一种新的能在线估计时变时滞系统参数的辨识算法与内模控制相结合，提出了时变时滞系统自适应内模控制算法。
Parameters of the dynamic statistical model are the time-varying parameters, variation of parameter reflects the variable trend of seepage.
动态模型的统计参数是随时间变化的时变参数，参数的变化反映了大坝的渗流变化趋势。
According to the structure characteristics of a time varying time series model, a new recursive parameter estimation algorithm of the time varying ar model is proposed.
根据对一类时变时间序列模型结构特点的研究，提出了一种时变ar模型的递推参数估计算法。
The system model contains multiple factors such as time-varying delay, parameter perturbation and nonlinear.
系统模型考虑了时变时滞、参数摄动以及非线性等多重因素。
The system model contains multiple factors such as time-varying delay, parameter perturbation and nonlinear.
系统模型考虑了时变时滞、参数摄动以及非线性等多重因素。
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