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- System identification, estimation recursive least squares (RLS) identification model is of the order of an important algorithm. 系统辨识中,递推最小二乘估计(RLS)是辨识模型阶次的一个重要的算法。
- System identification model for the scattering electromagnetic wave by an ellipsoidal particle 椭球粒子对电磁波散射的系统辨识模型
- Three dimensional historical geology numerical simulation and system identification model 三维地史数值模拟及其系统辨识
- Keywords: VBARX, system identification, state space model, modal parameters. 关键词:VBARX、系统识别、状态空间、模态参数。
- System Identification Model of Scattering Electromagnetic Field for An Ellipsoid 椭圆柱体对电磁波散射的系统辨识模型
- A subspace-based state space system identification method is applied to identify the model of rotorcraft in hover. 基于其离散状态空间模型,采用子空间方法进行线性系统识别。
- The neural network identifier(NNI) is used to implement system identification and to model the cutting process on-line. NNC网络根据系统的当前状态实现切削参数的自适应调整来优化加工过程,提高加工效率。
- Some developments in CVI model by using the idea of system modeling were reviewed.Mechanism model,identification model and reasoning model were analyzed. 本文利用系统建模思想对CVI工艺模拟研究进行了综述和分析,归纳总结了三类CVI工艺模型:机理模型,辩识模型和定性推理模型;
- The model of turntable control system is given by system identification toolbox and the in-out data gained by simulation. 通过系统辨识工具箱,并根据半实物仿真得出的输入输出数据,确定转台控制系统的模型。
- After the signal is denoised by PMH, the mathematical model of sensor's dynamic characteristic is obtained by system identification. 然后,利用消噪后的信号,通过系统辨识方法建立传感器动态特性的数学模型。
- System - the neighbor system identification number assigned by the FCC. System -- 由 FCC 分配的相邻系统标识号。
- As a useful complement to the classical linear system identification methods, the subspace model identification (SMI) methods have drawn much research attention recently. 摘要作为传统线性系统辨识方法的一个有益补充,子空间模型辨识方法(SMI)近年来获得了广泛关注。
- system identification modeling 辨识建模
- When the controlled plant is unknown, the comparison of the neural network (NN) and recursive least squares (RLS) model is presented for the off-line system identification. 此外,针对未知受控系统的系统识别,提出类神经网路(NN)与递迴式最小平方法(RLS)模型之间的比较。
- The main research content is as follows;First, the fundamental theory of nonlinear system identification based on Volterra series model is introduced in detail. 主要工作如下: 首先详细介绍了基于Volterra级数模型的非线性系统辨识基础理论。
- The main research in this dissertation focuses on the application of nonlinear system identification theory based on Volterra series model to rotor-bearing system fault diagnosis. 本文主要研究了基于Volterra级数模型的非线性系统辨识理论在轴承转子系统故障诊断中的应用。
- The linear model of local curved surface is established by system identification,which can determine the concentration of each gas analytically and precisely. 通过参数辨识构造线性模型,用解析法判定气体浓度,可行性强,测试准确。
- Based on the conception of the discrete modal filter, a force identification model is proposed to emend the classical modal model method. 基于模态滤波器概念提出了对载荷识别模态模型法的原理性校正方案,构造了动载荷识别的离散模态滤波器模型。
- It is plenty of preparation for the l atter system identification of tool breakage. 为后续的刀具破损系统辩识帮好了充分准备。
- The dynamic recurrent neural network is analyzed, andhow to use it for system identification is also analyzed. 对所提出的动态递归神经网络进行了分析,以及如何利用它们来进行系统辨识。