This paper introduces the theory and characteristics of federated filter based on multi model adaptive estimation.
本文介绍一种基于多模自适应估计的联邦滤波器的原理和特点。
An adaptive multiple model algorithm based on residual is presented, its basic idea is to assign the probability of each model in overall estimation through the size of residual.
提出了一种基于残差的自适应多模型算法，其基本思想是通过残差的大小来分配多模型中单个模型在整体估计中的权重。
An improved speed estimation method is proposed based on the speed of model reference adaptive system.
根据模型参考自适应的速度推算，提出了一种改进的速度推算法。
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.
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。
This algorithm overcomes the weakness of the FIMM with low estimation accuracy and the limitations of the adaptive filter based on the "current"statistical model.
该算法克服了模糊交互多模型算法精度较低和当前统计模型自适应滤波器方差调整有限的缺点。
In order to provide a more efficient estimation of different major geometries by a single model, an adaptive curve model which varies depending on the local nature of range image is employed.
为了能够仅依靠单一模型实现对环境中不同几何元素的有效估计，介绍了一种根据距离像局部特性进行自适应调整的曲线估计模型。
A model - based polarimetric adaptive CFAR detection algorithm is derived that has a lower estimation loss. A theoretical expression is derived for constant false alarm rate of the proposed algorithm.
提出了一种基于杂波模型的极化自适应恒虚警检测算法，该算法比极化自适应匹配滤波器算法有更小的估计损失，并推导出了虚警概率表达式。
These prove the validity and practicability of the method of speed adaptive estimation based on stator flux U-N model proposed by this paper.
仿真结果和试验结果表明辨识转速能够准确地跟踪实际转速，证明了基于定子磁链u - N模型的速度自适应辨识方法的有效性和实用性。
An adaptive decision vertical handoff algorithm using the detection and estimation theory to support this model is provided.
然后应用检测与估值理论提出一种支持这一模型的自适应预测切换算法。
The dynamic process of TCSC is considered in the system model and the nonlinear characteristic is reserved. An adaptive gain control law is applied to real-time para-meter estimation.
在系统模型中考虑了TCSC的动态过程，同时保留了系统的非线性特性，运用自适应增益控制律进行参数的实时估计。
The dynamic process of TCSC is considered in the system model and the nonlinear characteristic is reserved. An adaptive gain control law is applied to real-time para-meter estimation.
在系统模型中考虑了TCSC的动态过程，同时保留了系统的非线性特性，运用自适应增益控制律进行参数的实时估计。
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