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Communication Dans Un Congrès Année : 2022

Reliable Unknown Input Observer for Continuous-Time Linear Systems

Résumé

This work proposes a set-valued extension of the classical unknown input observers for linear continuous-time systems without using set-by-step set-membership computations or imposing the positivity property of the dynamics of the estimation error. In fact, based on an explicit set-integrationmethod of the estimation error, the framing and convergence properties of the proposed set-valued unknown input observer are demonstrated. Moreover, thanks to the proposed design approach, robust threshold on the residual can be established a priori. Simulation results are reported to highlight the effectiveness of the proposed state estimator in the presence of unknown inputs.
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Origine : Publication financée par une institution
licence : CC BY NC ND - Paternité - Pas d'utilisation commerciale - Pas de modification

Dates et versions

hal-03741051 , version 1 (31-08-2023)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification

Identifiants

Citer

Nacim Meslem, Ahmad Hably, Tarek Raïssi, Zhenhua Wang. Reliable Unknown Input Observer for Continuous-Time Linear Systems. SAFEPROCESS 2022 - 11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, Jun 2022, Pafos, Cyprus. pp.248-253, ⟨10.1016/j.ifacol.2022.07.137⟩. ⟨hal-03741051⟩
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