基于线性无偏最小方差估计理论，提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。
Based on linear unbiased minimum variance estimation theory, a fusion algorithm which fused the state vector of nonlinear systems with dissimilar sensors with arbitrary correlated noises is developed.
用合适的状态空间邻近矢量进行非线性局部分析，即使没有基音周期估计，短时预测器同样能建立长时相关性模型。
With an appropriate state space neighbour for the nonlinear local analysis, the short_delay predictor is also able to effectively model the long_term correlation without pitch estimation.
本文采用对消息和信道过程进行联合估计的方法，以建立最佳非线性相位估计器。
In this paper, the method to carry out the joint estimation to the message and channel processes is applied so that an optimal nonlinear phase estimator can be built.
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.
研究了非线性连续—离散系统极大似然估计方法的实现及其在飞行器气动参数辨识中的应用问题。
The implementation of maximum likelihood estimation method to the nonlinear continuous ?discrete systems and application to aerodynamic parameter identification for vehicle are studied.
本文提出了一种应用推广卡尔曼滤波器来估计非线性系统参数的方法，井获得了较为满意的结果。
In this paper a method of parameter estimation for nonlinear system is proposed by applying the extended Kalman filter and more satisfactory results are obtained.
针对一类非线性系统的未知扰动，研究了基于观测器的扰动估计问题。
The problem of disturbance estimation for a class of nonlinear systems is studied based on the observer method.
预测滤波器是一种基于非线性系统模型的滤波方法，它通过使输出一步前向预测误差最小来估计模型误差，具有较高的估计精度。
The Predictive Filter is an estimation method based on nonlinear system model, which determines the optimal model error using a one-step ahead control approach to provide accurate state estimations.
摄像头和投射器参数同时采用非线性最小二乘估计模型进行估计，其输出包含被估计的参数及其准确度；
The parameters of the camera and the projector are simultaneously estimated by using non-linear least-square estimation model, whose outputs contain the estimated parameters and their accuracys.
针对一类非线性输出注入系统，研究了基于自适应观测器的故障估计问题。
Fault estimation based on adaptive observer is studied for a class of nonlinear output injection system.
本文提出了一种基于人工神经网络的纸浆浓度传感器非线性估计和动态标定新方法。
Anew method to pulp consistency sensor nonlinear estimation and dynamic calibration based on artificial neural networks is proposed.
并将该模型用于建立一个在DRS观测值存在的情况下，状态向量估计的非线性平滑器。
This model is used to bui1d a nonlinear smoother for the estimation of the state vector when DRS measurements are available.
采用动态神经元网络状态观测器的故障检测和诊断方法对非线性时变热力系统状态进行估计。
A nonlinear time dependent thermodynamic system status is analyzed with a fault detection and diagnostic method being carried out by a dynamic neuron network status observer.
另外，基于所提出的估计器，本文设计了不依赖非线性系统模型的高阶微分反馈控制器。该控制器稳定性好，鲁棒性强。
Further more, based on the estimator a high order differential feedback controller is designed, which does not rely on the model of the nonlinear system, and has well stability and robustness.
所提出的检测器采用了一种结构来估计冲激噪声系数和修正非线性滤波器系数。
The proposed detector also incorporates a structure for estimating the impulsive noise parameter in order to update a filter parameter called the nonlinearity parameter.
用非线性车辆模型线性化方法，设计了基于广义卡尔曼滤波器和广义龙贝格观测器的质心侧偏角估计算法。
Through linearizing nonlinear vehicle model, vehicle side-slip Angle estimation algorithms based on generalized Kalman filter and generalized Luenberger observer are formulated.
无轨迹卡尔曼滤波器(ukf)作为扩展卡尔曼滤波器(ekf)的进化算法在许多非线性估计问题上取得了成功的应用。
Unscented Kalman Filter (UKF), which is an evolutional algorithm of Extended Kalman Filter (EKF), has been successfully applied in many nonlinear estimation problems.
本文介绍了两种方法来得到迎角和侧滑角的虚拟传感器信号：非线性观测器方法和利用INS／GPS系统数据估计迎角和侧滑角方法。
This paper introduces two methods to get the virtual sensor signal of angle of attack and sideslip angle: Nonlinear Observer method and INS/GPS method.
基于线性无偏最小方差估计理论，提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。
Based on the linear unbiased minimum variance estimation theory, an asynchronous fusion algorithm that fused the state vector of linear system with arbitrary correlated noises is developed.
该控制器包括非线性后推控制器和用来估计转速的转速观测器。
This controller consists of nonlinear backstepping controllers and a velocity observer to achieve the purpose of speed following.
磁链自适应观测器中的非线性修正项除考虑转速跟踪误差的影响外，还考虑了转子电阻估计误差和磁链观测误差的影响。
In rotor flux adaptive observers, the influence of flux amplitude tracking error estimate and rotor resistance estimate error in addition to speed tracking error is considered.
通过非线性滤波方法估计出系统状态，实现对航天器导航的任务。
The task of the spacecraft can be finished with the estimated states using no - linear filtering.
以这些数值积分方法为数学工具，推导出了非线性估计子加权融合滤波器，本文中简称TNF。
With these numerical integration methods as mathematics tools, the new tracking algorithm, non-linear estimators weighted fusion filter, is developed, we call it TNF.
用高斯径向基函数(RBF)神经网络逼近对象未知非线性，用高增益观测器估计系统不可测量状态。
Gaussian based radial basis function (RBF) neural networks are used to approximate the plant's unknown nonlinearities, and a high-gain observer is used to estimate the unmeasured states of the system.
用高斯径向基函数(RBF)神经网络逼近对象未知非线性，用高增益观测器估计系统不可测量状态。
Gaussian based radial basis function (RBF) neural networks are used to approximate the plant's unknown nonlinearities, and a high-gain observer is used to estimate the unmeasured states of the system.
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