仿真结果表明了该线性时变模型和参数估计算法的可行性，表明该自适应预测控制方法具有优良的控制品质。
Simulation results demonstrate the feasibility of the model and the parameter estimation algorithm, and show that the adaptive predictive control method has excellent control quality.
实验结果表明，该算法是一种有效的系统模型参数估计方法。
The experiment results show that particles swarm optimization is an effective method for parameter estimation of system model.
采用零截尾计数模型分析，不仅可以解决零截尾计数分布问题，且参数估计结果更准确，拟合效果更合理。
Zero-truncated count model could not only solve the issue of zero-truncated count distribution, but also the parameter estimates were more accurate, the fitting results were more reasonable.
仿真和实算结果表明，对于一大类线性和非线性回归模型，该方法给出的回归模型的参数估计效率的估计更接近模型参数估计效率的真值。
Simulation results and real measuring data calculations show that the precision estimation efficiency can be obtained by our method for a large class of linear and nonlinear regression models.
结果按照实例模型进行模拟数据，参数估计与原模型几乎一致。
Results to simulate data according to the case model, and parameter estimates are nearly consistent with the primary model.
主要研究结果如下：1。基于几种非参数估计理论，构造了非参数自回归模型条件方差函数的非参数估计表达式。
The main contributions are as follows:1. Based on several nonparametric estimation theories, several estimation expressions of conditional heteroscedastic function are constructed.
主要研究结果如下：1。基于几种非参数估计理论，构造了非参数自回归模型条件方差函数的非参数估计表达式。
The main contributions are as follows:1. Based on several nonparametric estimation theories, several estimation expressions of conditional heteroscedastic function are constructed.
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