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

页码：4491 / 4496

页数：6

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