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Reducing the number of vertices in some Takagi-Sugeno models: example in the mechanical field
- Source :
- 3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control CESCIT 2018, 3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control CESCIT 2018, Jun 2018, Faro, Portugal. pp.133-138, ⟨10.1016/j.ifacol.2018.06.250⟩
- Publication Year :
- 2018
- Publisher :
- HAL CCSD, 2018.
-
Abstract
- International audience; This paper is concerned with the building of application-oriented model-based Takagi-Sugeno models that arise from sector nonlinearity methodology. Despite its exactness, this modeling technique produces a polytopic embedding with a number of vertices of 2 raised to the number of nonlinearities which, if high, represents a rapid growth in the number of linear matrix inequalities (needed to solve even the simplest control and observation schemes). A solution for model reduction is proposed based on the similarity of Taylor approximations amongst nonlinearities, with a measurable bound on the approximation, which - as proven with a suitable application example - brings the methodology closer to real-time demands.
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- 3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control CESCIT 2018, 3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control CESCIT 2018, Jun 2018, Faro, Portugal. pp.133-138, ⟨10.1016/j.ifacol.2018.06.250⟩
- Accession number :
- edsair.dedup.wf.001..5f837b93583e94de9a60fba1ea16db02