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2018-10-10 - Colloque/Article dans les actes avec comité de lecture - Anglais - 6 page(s) (A publier)

Feudjio Letchindjio Christian , Coutinho Daniel, Vargas Alejandro, Vande Wouwer Alain , "An LMI-based approach to the design of super-twisting observers with application to a lipase production process from olive oil by Candida rugosa" in 22nd International Conference on System Theory, Control and Computing (ICSTCC 2018), Sinaia, Romania, 2018

  • Codes CREF : Sciences de l'ingénieur (DI2000), Biotechnologie (DI3800), Automatisme et régulation (DI2150), Automatique (DI2530), Automatisme industriel et processcontrol (DI2151)
  • Unités de recherche UMONS : Automatique (F107)
  • Instituts UMONS : Institut des Biosciences (Biosciences)
  • Centres UMONS : Biosys (BIOSYS)
Texte intégral :

Abstract(s) :

(Anglais) This paper presents a systematic methodology for designing super-twisting observers. Thanks to a state transformation, the estimation error dynamics can be cast in a Linear Parameter Varying (LPV) framework and a design procedure based on LMIs can be developed ensuring practical stability and finite time convergence. This approach is applied to the design of 3 super-twisting observers for estimating the reaction rates in a lipase production process from olive oil by Candida rugosa. The estimated rates can be used in an asymptotic observer to reconstruct the component concentrations.