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Interval Observer Design for Uncertain Discrete-Time Polytopic Systems

Naima Sehli 1 Kaouther Ibn Taarit 2 Tarek Raissi 3 Moufida Ksouri 1
1 ENIT - National Engineering School of Tunis = Ecole Nationale d'Ingénieurs de Tunis [University of Tunis El Manar]
2 UM - Université de Monastir - University of Monastir
3 CEDRIC - Centre d'études et de recherche en informatique et communications
Abstract : This paper investigates interval estimation for discrete- time nonlinear systems described by polytopic models with measurable premise variables. By assuming that the disturbances and measurement noise are unknown but bounded, an interval observer design is proposed and sufficient convergence conditions are given by Lyapunov stability analysis. To improve the accuracy of interval estimation in order to attenuate energy-bounded unknown inputs such as disturbances, a direct method based on H ∞ approach and pole placement constraints is developed. A numerical example is given to show the effectiveness of the proposed methodology.
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Conference papers
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https://hal-cnam.archives-ouvertes.fr/hal-03500794
Contributor : Marie-Liesse Bertram Connect in order to contact the contributor
Submitted on : Wednesday, December 22, 2021 - 3:48:07 PM
Last modification on : Friday, December 24, 2021 - 3:12:59 AM

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CNAM | CEDRIC-CNAM | UNIV-HESAM

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Naima Sehli, Kaouther Ibn Taarit, Tarek Raissi, Moufida Ksouri. Interval Observer Design for Uncertain Discrete-Time Polytopic Systems. 2020 17th International Multi-Conference on Systems, Signals & Devices (SSD), Jul 2020, Monastir, Tunisia. pp.85-90, ⟨10.1109/SSD49366.2020.9364217⟩. ⟨hal-03500794⟩

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