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**Harvard**

Sjövall, P. och Abrahamsson, T. (2007) *State-space model identification for component synthesis*.

** BibTeX **

@conference{

Sjövall2007,

author={Sjövall, Per and Abrahamsson, Thomas},

title={State-space model identification for component synthesis},

booktitle={Proceedings of the 25th International Modal Analysis Conference (IMAC-XXV), February 19-22, Orlando, Florida, USA},

isbn={0-912053-96-8},

abstract={A scheme for synthesis of subsystem state-space models to be used for analysis of dynamic behavior of built-up linear structures is presented. Using measurements on each component, subsystem models are identified adopting contemporary system identification methods. The subsystem state-space models are transformed into a coupling form, at which kinematic constraints and equilibrium conditions for the interfaces are introduced. The procedure is applied to a plane frame structure, which is built up of two components. It is found that the non-trivial model order determination constitutes a crucial step in the system identification process. If the model order is incorrect at subsystem level, the synthesized model may radically fail to describe the properties of the built-up structure. Furthermore, we use subsystem models that satisfy certain physically motivated constraints, e.g. reciprocity and passivity. Different approaches and methods to aid the model order determination and the estimation of physically consistent state-space models at subsystem level are discussed. },

year={2007},

}

** RefWorks **

RT Conference Proceedings

SR Print

ID 43055

A1 Sjövall, Per

A1 Abrahamsson, Thomas

T1 State-space model identification for component synthesis

YR 2007

T2 Proceedings of the 25th International Modal Analysis Conference (IMAC-XXV), February 19-22, Orlando, Florida, USA

SN 0-912053-96-8

AB A scheme for synthesis of subsystem state-space models to be used for analysis of dynamic behavior of built-up linear structures is presented. Using measurements on each component, subsystem models are identified adopting contemporary system identification methods. The subsystem state-space models are transformed into a coupling form, at which kinematic constraints and equilibrium conditions for the interfaces are introduced. The procedure is applied to a plane frame structure, which is built up of two components. It is found that the non-trivial model order determination constitutes a crucial step in the system identification process. If the model order is incorrect at subsystem level, the synthesized model may radically fail to describe the properties of the built-up structure. Furthermore, we use subsystem models that satisfy certain physically motivated constraints, e.g. reciprocity and passivity. Different approaches and methods to aid the model order determination and the estimation of physically consistent state-space models at subsystem level are discussed.

LA eng

OL 30