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

被引:82
|
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
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