Bounded-error uncertainty domain description for continuous-time state-space model

被引:1
|
作者
Farah, W. [1 ]
Mercere, G. [1 ]
Poinot, T. [1 ]
机构
[1] Univ Poitiers, Lab Automat & Informat Ind, F-86022 Poitiers, France
来源
IET CONTROL THEORY AND APPLICATIONS | 2012年 / 6卷 / 02期
关键词
SUBSPACE IDENTIFICATION; ASYMPTOTIC VARIANCE; DATA ORTHOGONALIZATION; SYSTEMS; CONSISTENCY; ALGORITHMS;
D O I
10.1049/iet-cta.2010.0725
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A method is introduced to determine the uncertainty domains of the estimated parameters for multi-input multi-output linear time-invariant continuous-time systems. This method uses a continuous-time subspace-based algorithm in order to identify the parameters of the system. This identification method is specific because the estimated state-space realisation is described with the help of a state-space canonical form. Then, a bounded-error approach is considered in order to characterise the uncertainty domains of the coefficients of the state-space matrices. A simulation example is included to demonstrate the efficiency of the developed method.
引用
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页码:261 / 273
页数:13
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