Set-membership Identification of LPV models with uncertain measurements of the time-varying parameter

被引：12
|
作者：
Cerone, V. [1 ]
Regruto, D. [1 ]
机构：
[1] Politecn Torino, Dipartimento Automat & Informat, I-10129 Turin, Italy
来源：
47TH IEEE CONFERENCE ON DECISION AND CONTROL, 2008 (CDC 2008) | 2008年
关键词：
Linear Parameter Varying; bounded uncertainty; errors-in-variable; parameter bounding; linear programming;
D O I：
10.1109/CDC.2008.4739267
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 the identification of SISO Linear Parameter Varying (LPV) models when both the output and the time-varying parameter measurements are affected by bounded noise is considered. First, the problem is formulated in terms of Error-in-variables (EIV) identification in presence of bounded noise. Then, a polytopic outer approximation of the feasible parameter set (FPS) and the parameters uncertainty intervals (PUI) of the LPV model are computed solving the EIV problem.
引用
收藏
页码：4491 / 4496
页数：6
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