控制器的设计是直接基于称为伪偏导数的向量，伪偏导数是通过新型参数估计算法，根据给出的永磁直流直线电机非线性系统模型的输入输出信息在线导出的。
The design of controller is based directly on pseudo- partial-derivatives (PPD) derived on-line from the input and output information of the system using a novel parameter estimation algorithm.
针对一个线性回归模型的系统矩阵存在的随机扰动情况，提出一种基于均匀设计的稳健参数估计算法。
A robust parameters estimation algorithm is proposed in this paper, which is based on uniform design for a linear regression model in the case of its coefficient matrix with random disturbance.
本文提出一种基于神经网络的多维自回归模型(AR,NLAR)参数估计方法。
A method of parameter estimation for multi-dimension autoregressive models (ar, NLAR) via neural network is given in this paper.
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。
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.
基于随机分形理论，采用分数布朗运动模型，应用R/S分析技术和基于小波变换的谱参数估计方法计算地震道信号的赫斯特指数。
The thesis based on random fractal theory, utilizing fractional Brownian motion model, using R/S analysis technique and wavelet transform method to estimate Hurst exponent which dep.
文章提出了一种水声网络探测节点的运动目标参数估计方法，即基于模型匹配原理的估计算法。
A moving target parameters estimation algorithm, which is based on the principle of model matching and used for underwater acoustic networks detection nodes, is proposed in this paper.
分析了多雷达信号融合中的幅度相位模型，并基于旋转不变技术提出一种新的幅度相位补偿参数估计方法。
The amplitude-phase compensation model of multi-band radar signal fusion is analyzed and the new amplitude-phase compensation algorithm based on the ESPRIT is presented.
对该模型提出两种求解方法，一是基于三相短路容量思想的等值参数估计，计算速度快，但精度不高；
Two Solutions to the model equivalent parameter estimation are proposed, one based on the three-phase short-circuit capacity, this method works with good computational speed, but accuracy is not high;
基于右截尾的EM算法，给出了恒加试验线性模型的参数估计，并结合加速方程得到了产品的寿命估计。
Based on EM approach of right dock, it gives out parametric estimation of accelerated life testing in linear model.
基于路面实测数据进行了统计分析，得到了路面使用性能参数的统计分布模型及其参数估计值。
Based on the measured data, the statistical distribution model and estimate value of statistical parameter were been obtained.
给出基于最小一乘准则的非线性回归模型的参数估计算法。
In this paper, a parameters evaluation algorithm based on the least absolute criteria for non linear regress is developed.
本文应用威布尔比例故障率模型表示系统运行完好状态，采用贝叶斯方法进行基于小子样数据的参数估计。
The Weibull Proportional Hazards Model which parameters are estimated through Bayesian method is used to describe the health of system.
之后，应用基于模型参数-子系统参数关联方程的参数估计方法，对伺服系统进行故障诊断。
Then it applies the method of parameter estimation based on the model of parameters-subsystem parameters function to the fault detection of servo system.
文章首先介绍了线性调频信号模型，然后概述了基于短时傅立叶变换的参数估计方法。
First of all, LFM signal model is introduced, and then short-time Fourier transform is studied.
该模型定义在不同语义关系之上，基于极大似然估计法利用语义距离来对语义关系进行参数估计。
The model is based on different semantic relationships, and is estimated according to maximum likelihood estimation. Semantic distance is used to estimate semantic relationships in estimating period.
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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