On the Relation Between Discrete and Continuous-Time Refined Instrumental Variable Methods

被引:2
|
作者
Gonzalez, Rodrigo A. [1 ]
Rojas, Cristian R. [2 ]
Pan, Siqi [3 ]
Welsh, James S. [3 ]
机构
[1] Eindhoven Univ Technol, Control Syst Technol Res Sect, NL-5612 AZ Eindhoven, Netherlands
[2] KTH Royal Inst Technol, Div Decis & Control Syst, S-10044 Stockholm, Sweden
[3] Univ Newcastle, Sch Engn, Callaghan, NSW 2308, Australia
来源
IEEE CONTROL SYSTEMS LETTERS | 2023年 / 7卷
基金
瑞典研究理事会;
关键词
Instruments; System identification; Computed tomography; Transfer functions; Optimization; Linear systems; Mathematical models; Identification; refined instrumental variables; parsimony;
D O I
10.1109/LCSYS.2023.3282445
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The Refined Instrumental Variable method for discrete-time systems (RIV) and its variant for continuous-time systems (RIVC) are popular methods for the identification of linear systems in open-loop. The continuous-time equivalent of the transfer function estimate given by the RIV method is commonly used as an initialization point for the RIVC estimator. In this letter, we prove that these estimators share the same converging points for finite sample size when the continuous-time model has relative degree zero or one. This relation does not hold for higher relative degrees. Then, we propose a modification of the RIV method whose continuous-time equivalent is equal to the RIVC estimator for any non-negative relative degree. The implications of the theoretical results are illustrated via a simulation example.
引用
收藏
页码:2233 / 2238
页数:6
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