Persistent Excitation by Deterministic Signals for Subspace Parametric Identification of MISO Hammerstein Systems

被引：19

作者：

Naitali, A. ^{[1
]}

Giri, F. ^{[2
]}

机构：

[1] Univ Mohammed 5, ENSET, Rabat 10100, Morocco

[2] Univ Caen Basse Normandie, F-14032 Caen, France

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2016年 / 61卷 / 01期

关键词：

Identification; MISO Hammerstein; nonlinear system; persistency of excitation; ALGORITHMS;

D O I：

10.1109/TAC.2015.2438417

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 persistent excitation (PE) issue is addressed for subspace identification of MISO Hammerstein systems. A signal generator is designed that provides persistently exciting inputs for the considered class of systems. Signal generation involves amplitude weighting and phase shifting on a given finite-length discrete-time Dirac Comb signal. It turns out that the generated signals are deterministic and meet the PE requirement within a relatively short time identification horizon. This theoretical feature is confirmed by simulation.

引用

页码：258 / 263

页数：6

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