Recursive Closed-loop PARSIM-E Subspace Identification

被引：0
|
作者：
Hou, Jie [1 ]
Chen, Fengwei [1 ]
Liu, Tao [1 ]
机构：
[1] Dalian Univ Technol, Sch Control Sci & Engn, Dalian, Peoples R China
来源：
IFAC PAPERSONLINE | 2015年 / 48卷 / 28期
关键词：
state-space model; closed-loop identification; recursive algorithm; propagator; convergence; ALGORITHMS; SYSTEMS; MODELS;
D O I：
10.1016/j.ifacol.2015.12.241
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper a recursive closed-loop PARSIMonious subspace identification method using modified innovation Estimation (PARSIM-E) is proposed, which can significantly improve computational efficiency for practical application. By recursively updating the product of the extended observability and controllability matrices, the non-causal parameters included in the triangular Toeplitz matrices are left out to avoid redundant estimation. A propagator is used to extract the system state in order to estimate the system matrices. The convergence of the proposed method is analyzed with a strict proof. Two illustrative examples arc given to demonstrate the effectiveness of proposed algorithm. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：880 / 885
页数：6
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