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Interval Observer Design for Uncertain Discrete-Time Polytopic Systems

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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Contributor : Marie-Liesse Bertram Connect in order to contact the contributor
Submitted on : Wednesday, December 22, 2021 - 3:48:07 PM
Last modification on : Wednesday, September 28, 2022 - 5:57:18 AM




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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