位置：成果数据库 > 期刊 > 期刊详情页
Least squares based iterative algorithms for identifying Box-Jenkins models with finite measurement
  • ISSN号：1051-2004
  • 期刊名称：Digital Signal Processing
  • 时间：0
  • 页码：1458-1467
  • 相关项目：一类复杂系统辨识方法及其计算机Monte-Carlo仿真研究
作者： Liu, Yanjun|Wang, Dongqing|Ding, Feng|
同期刊论文项目
一类复杂系统辨识方法及其计算机Monte-Carlo仿真研究
期刊论文 41
同项目期刊论文
Auxiliary model based least squares identification method for a state space model with a unit time-d
Recursive Relations of the Cost Functions for the Least-Squares Algorithms for Multivariable Systems
The residual-based ESG algorithm and its performance analysis
Parameter estimation for multirate multi-input systems using auxiliary model and multi-innovation
Time series AR modeling with missing observations based on the polynomial transformation
Hierarchical least-squares based iterative identification for multivariable systems with moving aver
Multi-innovation Extended Stochastic Gradient Algorithm and Its Performance Analysis
Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems
Gradient-based and least-squares-based iterative estimation algorithms for multi-input multi-output
非均匀采样系统多新息随机梯度辨识性能分析
Identification methods for Hammerstein nonlinear systems
系统辨识(1):辨识导引
系统辨识(5):迭代搜索原理与辨识方法
Bias compensation-based parameter estimation for output error moving average systems
Several multi-innovation identification methods
Modelling and identification for non-uniformly periodically sampled-data systems
Multiinnovation Least-Squares Identification for System Modeling
非均匀周期采样系统的递阶最小二乘辨识方法
系统辨识(4):辅助模型辨识思想与方法
系统辨识(3):辨识精度与辨识基本问题
系统辨识(2):系统描述的基本模型
Parameter estimation with scarce measurements
Hierarchical gradient based iterative parameter estimation algorithm for multivariable output error
Convergence properties of the least squares estimation algorithm for multivariable systems
Maximum likelihood least squares identification for systems with autoregressive moving average noise
An iterative least squares estimation algorithm for controlled moving average systems based on matri
系统辨识(8):耦合辨识概念与方法
Least squares estimation for a class of non-uniformly sampled systems based on the hierarchical iden
Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modelin
辨识方法的计算效率(1):递推算法
Performance analysis of the auxiliary model-based least-squares identification algorithm for one-ste
系统辨识(6):多新息辨识理论与方法
系统辨识(7):递阶辨识原理与方法
非均匀采样数据系统的AM-RLS辨识方法及仿真研究
基于辅助模型和数据滤波的伪线性回归系统参数估计方法
一类非线性系统的参数估计
多变量系统辅助模型多新息随机梯度辨识方法
基于双率采样数据的动态调节系统辨识
Stochastic gradient algorithm for a dual-rate Box-Jenkins model based on auxiliary model and FIR model