Least Squares Based and Two-Stage Least Squares Based Iterative Estimation Algorithms for H-FIR-MA Systems

被引:2
作者
Shi, Zhenwei [1 ,2 ]
Ji, Zhicheng [1 ]
机构
[1] Jiangnan Univ, Sch Internet Things Engn, Wuxi 214122, Peoples R China
[2] Wuxi Elect & Higher Vocat Sch, Wuxi 214028, Peoples R China
基金
国家高技术研究发展计划(863计划);
关键词
FAULT-TOLERANT CONTROL; PARAMETER-ESTIMATION; NONLINEAR-SYSTEMS; IDENTIFICATION METHODS; MODEL;
D O I
10.1155/2015/516374
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper studies the identification of Hammerstein finite impulse response moving average (H-FIR-MA for short) systems. A new two-stage least squares iterative algorithm is developed to identify the parameters of the H-FIR-MA systems. The simulation cases indicate the efficiency of the proposed algorithms.
引用
收藏
页数:8
相关论文
共 41 条
[1]   Newton iterative identification method for an input nonlinear finite impulse response system with moving average noise using the key variables separation technique [J].
Deng, Kepo ;
Ding, Feng .
NONLINEAR DYNAMICS, 2014, 76 (02) :1195-1202
[2]  
Ding F., 2014, SYSTEM IDENTIFICATIO
[3]  
Ding F., 2013, SYSTEM IDENTIFICATIO
[4]   Hierarchical estimation algorithms for multivariable systems using measurement information [J].
Ding, Feng .
INFORMATION SCIENCES, 2014, 277 :396-405
[5]   State filtering and parameter estimation for state space systems with scarce measurements [J].
Ding, Feng .
SIGNAL PROCESSING, 2014, 104 :369-380
[6]   Two-stage parameter estimation algorithms for Box-Jenkins systems [J].
Ding, Feng ;
Duan, Honghong .
IET SIGNAL PROCESSING, 2013, 7 (08) :646-654
[7]   Newton iterative identification for a class of output nonlinear systems with moving average noises [J].
Ding, Feng ;
Ma, Junxia ;
Xiao, Yongsong .
NONLINEAR DYNAMICS, 2013, 74 (1-2) :21-30
[8]   Gradient-based and least-squares-based iterative algorithms for Hammerstein systems using the hierarchical identification principle [J].
Ding, Feng ;
Liu, Xinggao ;
Chu, Jian .
IET CONTROL THEORY AND APPLICATIONS, 2013, 7 (02) :176-184
[9]   Two-stage least squares based iterative estimation algorithm for CARARMA system modeling [J].
Ding, Feng .
APPLIED MATHEMATICAL MODELLING, 2013, 37 (07) :4798-4808
[10]   Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling [J].
Ding, Feng .
APPLIED MATHEMATICAL MODELLING, 2013, 37 (04) :1694-1704