Stochastic System Identification Techniques of State Space Models and its Applications

Author

Han, Bingxin ; Liu, Lixian ; Wang, Chenghong

Author_Institution

Dept. of Electr. Eng., Shijiazhuang Railway Inst.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

1452

Lastpage

1455

Abstract

The state subspace system identification (4SID) techniques have shown a new approach to the identification of MIMO system. The present paper studied the state subspace system identification method of MIMO system, summarized the advantages of the 4SID techniques, and improved the method of state subspace system identification. Adopted this method, Toeplitz matrix H_i is first identified, and then the state subspace and system parameters matrix are identified. Meanwhile, mathematical demonstration is provided, thus the bottleneck problem of 4SID is solved. Compared with other algorithms, this method bears higher identification precision and practicality

Keywords

MIMO systems; state estimation; MIMO system; Toeplitz matrix; state space; state subspace system identification; stochastic system identification; system parameter matrix; Automation; Information science; Intelligent control; MIMO; Rail transportation; Roentgenium; State-space methods; Stochastic systems; System identification; MIMO system; state space; 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.2006.1712589

Filename

1712589