Anew method to pulp consistency sensor nonlinear estimation and dynamic calibration based on artificial neural networks is proposed.
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。
When the Angle modulation signals made up of the message model have passed through a randomly time-varying channel, a complex nonlinear estimation model is formed.
当此消息模型构成的角调信号通过随机时变信道后，形成复杂的非线性估计模型。
Unscented Kalman Filter (UKF), which is an evolutional algorithm of Extended Kalman Filter (EKF), has been successfully applied in many nonlinear estimation problems.
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。
It is shown by the computational results for bulk carriers and tankers that massively parallel, interconnected networks of nonlinear analog neurons are most effective in the hull weight estimation.
以散货船和油船为实例的计算结果表明，由非线性模拟神经元组成的神经网络在船体重量估算中是非常有效的。
The parameter estimation and system identification of nonlinear structures is a subject which serves to obtain and verify mathematical model of nonlinear structures.
非线性结构的参数估计和系统识别是取得和验证非线性结构数学模型的一门学科。
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.
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。
Moreover, based on this modified fuzzy system, the paper presents an on line identifying algorithm with which the on line parameter estimation of nonlinear system is realized.
在被调整模糊系统基础上，提出了一种非线性系统在线估计参数的在线辨识算法。
The operator was applied to simulating parameter estimation of nonlinear system, and the resulted showed its validity and its superiority over a general crossover operator.
通过应用于非线性参数估计的仿真计算，表明了这种杂交算子的有效性及其相对于普通杂交算子的优点。
A nonlinear predictive tracking filtering algorithm is presented for maneuvering target, which is an innovations-based scheme of maneuver estimation.
提出了一种直接根据新息的机动目标跟踪非线性预测跟踪滤波算法。
Nonlinear parameter estimation approach can also be used to converse the formation permeability.
可以采用非线性参数估计的方法反演地层的渗透率；
This paper presents a method for orientation estimation which combines the quadrature filtering with nonlinear diffusion.
提出了一种将正交滤波和非线性扩散相结合的取向估计方法。
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.
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。
In this paper, a new particle filter based on sequential importance sampling (SIS) is proposed for the on-line estimation problem of non-Gauss nonlinear systems.
针对非线性、非高斯系统状态的在线估计问题，本文提出一种新的基于序贯重要性抽样的粒子滤波算法。
The implementation of maximum likelihood estimation method to the nonlinear continuous ?discrete systems and application to aerodynamic parameter identification for vehicle are studied.
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。
Based on the estimation of the unit solution matrixes of differential equations, the unique steady state of the dynamic circuits with nonlinear resistors is studied by matrix measure.
本文利用微分方程单位解矩阵估计的相关方法，得到了确定含有非线性电阻的动态电路唯一稳态的条件。
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.
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, empirical Euclidean likelihood ratio statistics are constructed for parametric in a nonlinear model. And prove strong consistency and asymptotic normality of the estimation.
本文构造了非线性模型中参数的经验欧氏似然比统计量，并证明了该似然估计的强相合性和渐近正态性。
In this paper the nonlinear least squares solution for signal-pole estimation is offered.
该文给出了信号极点估计的非线性最小二乘求解方法。
The problem of disturbance estimation for a class of nonlinear systems is studied based on the observer method.
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。
In this paper, an interaction balance coordination algorithm of integrated system optimization and parameter estimation for nonlinear discrete dynamic large scale system is introduced.
提出一种非线性离散动态大系统系统优化与参数估计集成的关联平衡协调算法。
The estimation result show that spline function method is one of important methods for nonlinear parameter estimation.
估计结果表明，样条函数法是非线性参数估计的重要方法之一。
This algorithm makes use of the pseudo measurements to change the nonlinear measurement equation to pseudo linear one, realizing the real-time estimation of target states.
该算法利用伪测量值，将非线性测量方程变为线性伪测量方程，实现对目标状态的实时估计。
The corresponding nonlinear threshold functions (bivariate shrinkage function) are derived from the model using the Bayesian estimation theory.
基于贝叶斯估计理论，得到了相应的非线性阈值函数（双变量收缩函数）。
The pseudo-first-order kinetic rate constant of each step in the network of hydrocracking of tetralin was evaluated by the nonlinear parameter estimation method.
用非线性参数估计法对四氢萘加氢裂化反应网络的拟一级动力学常数进行了计算。
The exchange of two nonlinear Kalman filters was used to improve the fusion accuracy in the state estimation.
在作状态估计时，采用两组非线性卡尔曼滤波切换提高融合精度。
Finally, two numerical examples are given to illustrate the methods of moments estimation and the nonlinear least squares estimation.
最后，用两个数字实例对矩估计法和非线性最小平方估计法加以具体的说明。
With this new approach, some sufficient conditions for the exponential stability of nonlinear systems are obtained, and the exponential decay estimation oft he solution is also proposed.
借助这一新方法，得到了非线性系统指数稳定的充分条件，并给出了解的指数衰减估计。
A new Gaussian particle filter (GPF) is discussed to solve estimation problems in nonlinear non-Gaussian systems.
为了解决非线性、非高斯系统估计问题，讨论了一种新的滤波方法——高斯粒子滤波算法。
A new Gaussian particle filter (GPF) is discussed to solve estimation problems in nonlinear non-Gaussian systems.
为了解决非线性、非高斯系统估计问题，讨论了一种新的滤波方法——高斯粒子滤波算法。
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