This information permits the rapid identification of model and query optimizations which could be applied in order to achieve better performance.
该信息允许快速识别模型和查询优化，应用该优化的目的是达到更好的性能。
According to the reduced order model of induction motor, a model reference adaptive speed identification algorithm is obtained from measured motor stator voltages and currents.
根据异步电机的数学模型，利用易于检测的电机定子电压和电流得到电机转速的模型参考自适应辨识算法。
In order to obtain the dynamic model of the process to be used by robust PID, closed-loop model identification algorithm in frequency domain is researched.
为了获得鲁棒pid参数整定所需的过程模型，进行了闭环频域模型辨识的研究。
When using the system identification methods to establish the dynamic thermal model of the building wall, the order of the discrete time model was usually set up to be constant value.
当使用系统辨识方法建立建筑墙体动态热特性模型时，通常将时间离散模型的阶次通常设为定值。
A simultaneous identification method of model order and parameters has been established in this paper.
本文提出一种同时辨识单输入-单输出线性定常系统差分模型的阶次和参数的方法。
This paper bases on lattice iterate identification method for ARMA model, pushes out its recursive algorithm, puts forward a determination order method for this algorithm.
本文针对ARMA模型的格型迭代法，推出了它的递推算法，并针对本算法提出了相应的判价方法。
The identification accuracy is related to the order of the fitting model, sample interval and sample number, and also affected by signal noise, which shows the method should be improved.
辨识精度与算法中拟合模型阶数、采样时间间隔和采样总数有关，并受信号中噪声的影响，需加以改进。
Its identification unknown model, you can observe the identification system using least-squares algorithm to determine the accuracy of the model order times.
其辨识未知模型时，可以用最小二乘算法观察辨识系统的精度来确定模型的阶次。
In order to overcome the disturbance of noises, a robust identification method of water quality model parameters namely trust region algorithm based on M-estimation is proposed.
为了克服随机噪声对河流水质模型参数估计的干扰，提出了一种水质模型参数的鲁棒估计方法，即基于M -估计的信赖域算法。
The macro model of traffic flow in freeway is a high order, nonlinear and time variant system which makes the problem of its identification become very difficult.
高速公路交通流模型是一个高阶非线性时变系统，这使得该模型的辨识问题成为一个非常困难的问题。
The result shows that the order of the dynamic thermal model of the building wall is not fixed. And if auto-identification model is used to calculate, the accuracy of result will be improved.
计算结果表明：建筑墙体动态热特性模型的模型阶次不是固定的，使用自辨识模型阶次的方法能够提高结果的精度。
The result shows that the order of the dynamic thermal model of the building wall is not fixed. And if auto-identification model is used to calculate, the accuracy of result will be improved.
计算结果表明：建筑墙体动态热特性模型的模型阶次不是固定的，使用自辨识模型阶次的方法能够提高结果的精度。
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