Modified Subspace Identification for Periodically Non-uniformly Sampled Systems by Using the Lifting Technique

被引:85
作者
Ding, Jie [1 ]
Lin, Jinxing [1 ]
机构
[1] Nanjing Univ Posts & Telecommun, Sch Automat, Nanjing 210032, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Parameter estimation; Subspace identification; Casuality constraint; Lifting technique; Non-uniform sampling; PARAMETER-ESTIMATION ALGORITHM; LEAST-SQUARES ESTIMATION; ITERATIVE IDENTIFICATION;
D O I
10.1007/s00034-013-9704-2
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper studies identification problems for a class of multirate systems-non-uniformly sampled systems. The lifting technique is employed to handle the non-uniformly sampled input and output data, a lifted state-space model is derived to represent the non-uniform discrete-time systems, and a novel subspace identification method is proposed to deal with the casuality constraints in the lifted model. Simulation results show that the algorithm is effective.
引用
收藏
页码:1439 / 1449
页数:11
相关论文
共 35 条
[1]  
Ding F., 2013, SYSTEM IDENTIFICATIO
[2]   Combined state and least squares parameter estimation algorithms for dynamic systems [J].
Ding, Feng .
APPLIED MATHEMATICAL MODELLING, 2014, 38 (01) :403-412
[3]   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
[4]   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
[5]   Coupled-least-squares identification for multivariable systems [J].
Ding, Feng .
IET CONTROL THEORY AND APPLICATIONS, 2013, 7 (01) :68-79
[6]   Decomposition based fast least squares algorithm for output error systems [J].
Ding, Feng .
SIGNAL PROCESSING, 2013, 93 (05) :1235-1242
[7]   Two-stage least squares based iterative estimation algorithm for CARARMA system modeling [J].
Ding, Feng .
APPLIED MATHEMATICAL MODELLING, 2013, 37 (07) :4798-4808
[8]   Performance Analysis of the Auxiliary Model-Based Stochastic Gradient Parameter Estimation Algorithm for State-Space Systems with One-Step State Delay [J].
Ding, Feng ;
Gu, Ya .
CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2013, 32 (02) :585-599
[9]   Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling [J].
Ding, Feng .
APPLIED MATHEMATICAL MODELLING, 2013, 37 (04) :1694-1704
[10]   Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems [J].
Ding, Feng ;
Liu, Guangjun ;
Liu, Xiaoping Peter .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2010, 55 (08) :1976-1981