Subspace approach to identification of linear repetitive processes

Author

Janczak, Andrzej ; Kujawa, Dominik

Author_Institution

Fac. of Electr. Eng., Comput. Sci. & Telecommun., Univ. of Zielona Gora, Gora, Poland

fYear

2009

fDate

June 29 2009-July 1 2009

Firstpage

1

Lastpage

4

Abstract

The aim of this paper is to propose a new approach to the identification of the LRPs based on subspace algorithms. The order of a LRP and the unknown process matrices are determined based on the input and output sequences of the actual pass and the output sequence of the previous pass. The proposed approach can be very useful not only for time invariant LRPs but also for processes with slowly evolving dynamics or processes which dynamics changes rapidly from pass to pass. Simulation examples are provided to illustrate the effectiveness of the proposed approach.

Keywords

continuous time systems; covariance matrices; identification; linear systems; covariance matrix; dynamic process; linear repetitive process; linear system identification; subspace approach; time invariant LRP; Computational complexity; Computer errors; Computer science; Control theory; Iterative algorithms; Linear systems; MIMO; Matrix decomposition; Observability; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Multidimensional (nD) Systems, 2009. nDS 2009. International Workshop on

Conference_Location

Thessaloniki

Print_ISBN

978-1-4244-2797-0

Electronic_ISBN

978-1-4244-2798-7

Type

conf

DOI

10.1109/NDS.2009.5196182

Filename

5196182