Bounded error identification of systems with time-varying parameters

被引：102

作者：

Bravo, J. M.

Alamo, T.

Camacho, E. F.

机构：

[1] Univ Huelva, Dept Ingn Elect Sistemas Informat & Automat, Palos de la Frontera 21071, Huelva, Spain

[2] Univ Seville, Escuela Super Ingn, Dept Ingn Sistemas & Automat, Seville 41092, Spain

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2006年 / 51卷 / 07期

关键词：

set membership; system identification; time-varying parametric uncertainty;

D O I：

10.1109/TAC.2006.878750

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This note presents a new approach to guaranteed system identification for time-varying parameterized discrete-time systems. A bounded description of noise in the measurement is considered. The main result is an algorithm to compute a set that contains the parameters consistent with the measured output and the given bound of the noise. This set is represented by a zonotope, that is, an affine map of a unitary hypercube. A recursive procedure minimizes the size of the zonotope with each noise corrupted measurement. The zonotopes take into account the time-varying nature of the parameters in a nonconservative way. An example has been provided to clarify the algorithm.

引用

页码：1144 / 1150

页数：7

共 27 条

[1] Guaranteed state estimation by zonotopes [J].