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Article Dans Une Revue International Journal of Applied Mathematics and Computer Science Année : 2011

EXTRACTING SECOND-ORDER STRUCTURES FROM SINGLE-INPUT STATE-SPACE MODELS: APPLICATION TO MODEL ORDER REDUCTION

Résumé

This paper focuses on the model order reduction problem of second-order form models. The aim is to provide a reduction procedure which guarantees the preservation of the physical structural conditions of second-order form models. To solve this problem, a new approach has been developed to transform a second-order form model from a state-space realization which ensures the preservation of the structural conditions. This new approach is designed for controllable single-input state-space realizations with real matrices and has been applied to reduce a single-input second-order form model by balanced truncation and modal truncation.

Dates et versions

hal-00851912 , version 1 (19-08-2013)

Identifiants

Citer

Jérôme Guillet, Benjamin Mourllion, Abderazik Birouche, Michel Basset. EXTRACTING SECOND-ORDER STRUCTURES FROM SINGLE-INPUT STATE-SPACE MODELS: APPLICATION TO MODEL ORDER REDUCTION. International Journal of Applied Mathematics and Computer Science, 2011, 21 (3), pp.509-519. ⟨10.2478/v10006-011-0039-5⟩. ⟨hal-00851912⟩
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