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Conference Papers Year : 2013

Identification of MIMO switched state-space models

Laurent Bako
van Luong Le
  • Function : Author
  • PersonId : 768081
  • IdRef : 17565428X
Fabien Lauer
Gérard Bloch
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  • PersonId : 832207

Abstract

Identifying switched linear models directly from input-output measurements only is known to be a non-trivial identification problem. When switched state-space models are considered in a general setting and both the continuous state and the discrete mode are unmeasured, the problem proves to be a much harder realization problem. The present paper describes a method for identifying discrete-time switched linear state-space models from input-state-output measurements. While the discrete mode is unknown, we assume here that the continuous state is measured along with the input and output signals. Given a finite collection of such measured data, we propose a sparsity-inducing optimization approach for estimating the matrices associated with each submodel.
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Dates and versions

hal-00798991 , version 1 (11-03-2013)

Identifiers

  • HAL Id : hal-00798991 , version 1

Cite

Laurent Bako, van Luong Le, Fabien Lauer, Gérard Bloch. Identification of MIMO switched state-space models. American Control Conference, ACC 2013, Jun 2013, Washington, United States. pp.CD-ROM. ⟨hal-00798991⟩
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