Open Access Open Access  Restricted Access Subscription Access

Successive Separation Procedure of Reduction for Nonlinear Large Scale Systems


Affiliations
1 Laboratory MACS-ENIG, Tunis, Tunisia
2 Laboratory LARA- ENIT, High Institute of Technological Studies in Communications ISETC'om, Tunis, Tunisia
 

For controller implementation and due to practical considerations a reduced order model is usually needed. So in this work, the problem of order reduction of nonlinear multi time scales systems in the framework of singular perturbations is addressed. A successive separation algebraic procedure is proposed to derive a polynomial reduced model by using the Kronecker product based state representation and the properties of the tensor algebra.

Keywords

Kronecker Product, Polynomial Reduced Order Model, Nonlinear Large-scale Systems, Singular Perturbation Theory
User

Abstract Views: 221

PDF Views: 0




  • Successive Separation Procedure of Reduction for Nonlinear Large Scale Systems

Abstract Views: 221  |  PDF Views: 0

Authors

Marwa Baccouche
Laboratory MACS-ENIG, Tunis, Tunisia
Hajer Bouzaouache
Laboratory LARA- ENIT, High Institute of Technological Studies in Communications ISETC'om, Tunis, Tunisia

Abstract


For controller implementation and due to practical considerations a reduced order model is usually needed. So in this work, the problem of order reduction of nonlinear multi time scales systems in the framework of singular perturbations is addressed. A successive separation algebraic procedure is proposed to derive a polynomial reduced model by using the Kronecker product based state representation and the properties of the tensor algebra.

Keywords


Kronecker Product, Polynomial Reduced Order Model, Nonlinear Large-scale Systems, Singular Perturbation Theory



DOI: https://doi.org/10.17485/ijst%2F2017%2Fv10i31%2F158346