An improved pseudo-random binary sequence design for multivariable system identification(A16-395)

Author

Li Yao ; Zhao, Jun ; Qian, Jixin

Author_Institution

Syst. Eng., Zhejiang Univ.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

1768

Lastpage

1772

Abstract

An improved design method of PRBS signals for multivariable system identification is proposed. The approach sets different delay intervals to different channels instead of a unique delay interval. The minimal periodic length of PRBS is nearly the sum of the settling time of each channel. Consequently, a modified correlation analysis method is also put forward to identify the process model of multivariable system. The simulation shows that the proposed method can effectively shorten the periodic length of PRBS for multivariable system identification

Keywords

binary sequences; correlation methods; delays; identification; multivariable systems; random sequences; delay intervals; modified correlation analysis method; multivariable system identification; pseudo-random binary sequence; Autocorrelation; Binary sequences; Delay; Design engineering; Design methodology; Finite impulse response filter; MIMO; Signal design; Signal processing; System identification; PRBS; correlation analysis; multivariable system identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712657

Filename

1712657