Subspace technique for identification of hybrid complex systems.

Author

Rajaoarisoa, Lala H. ; Sirdi, Nacer K M ; Boukas, El-Kebir ; Naamane, Aziz

Author_Institution

Lab. of Syst. & Sci., Domaine Univ. de St.-Jerome, Marseille

fYear

2008

fDate

25-27 June 2008

Firstpage

89

Lastpage

94

Abstract

Switched and piecewise affine models are interesting when modeling a nonlinear and non stationary complex system. Identification of these models is a challenging problem that involves estimation of both the parameters of the submodels, and the partitioning of state and input space. In this paper, we introduce a subspace technique for identification of the class of multi-variable hybrid complex system with unknown switching. Observability and Identifiability problems are discussed. The verification will be done for an experimental greenhouse.

Keywords

large-scale systems; multivariable control systems; nonlinear control systems; observability; parameter estimation; state-space methods; time-varying systems; hybrid complex systems identification; identifiability problems; multivariable hybrid complex system; nonlinear system; nonstationary complex system; observability problems; subspace technique; Automatic control; Automation; Hybrid power systems; Laboratories; Nonlinear control systems; Observability; Parameter estimation; Piecewise linear approximation; Power system dynamics; State estimation; Hybrid Systems; Identification; Observability; Varying Complex Systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Automation, 2008 16th Mediterranean Conference on

Conference_Location

Ajaccio

Print_ISBN

978-1-4244-2504-4

Electronic_ISBN

978-1-4244-2505-1

Type

conf

DOI

10.1109/MED.2008.4602098

Filename

4602098