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Conference papers

Tensor-based Identification of the Structure of Block-Oriented Nonlinear Systems

Alain Kibangou 1, 2 Gérard Favier 3 
Abstract : In this paper, we propose a new tensor-based approach to identify the structure of a block-oriented nonlinear system (Hammerstein, Wiener, and Wiener-Hammerstein systems). The proposed method makes use of one time-domain Volterra kernel of an arbitrary order higher than two, which can be viewed as a tensor. We develop a tensor analysis for carrying out the identification of the structure of block-oriented nonlinear systems. The performance of the proposed identification scheme is illustrated by means of some simulation results.
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Submitted on : Tuesday, June 23, 2009 - 12:11:00 PM
Last modification on : Saturday, June 25, 2022 - 11:01:34 PM
Long-term archiving on: : Thursday, June 30, 2011 - 11:40:26 AM

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  • HAL Id : hal-00397802, version 1

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Alain Kibangou, Gérard Favier. Tensor-based Identification of the Structure of Block-Oriented Nonlinear Systems. SYSID 2009 - 15th IFAC Symposium on System Identification, Jul 2009, Saint-Malo, France. pp.6. ⟨hal-00397802⟩

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