Academic Journal

Zonotopic set-membership state estimation for switched systems

التفاصيل البيبلوغرافية
العنوان: Zonotopic set-membership state estimation for switched systems
المؤلفون: Ifqir, Sara, Puig Cayuela, Vicenç, Ichalal, Dalil, Ait-Oufroukh, Naima, Mammar, Saïd
المساهمون: Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
سنة النشر: 2022
المجموعة: Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
مصطلحات موضوعية: Àrees temàtiques de la UPC::Informàtica::Automàtica i control, Differential equations, Mathematical optimization, Numerical analysis, Equacions diferencials, Optimització matemàtica, Anàlisi numèrica
الوصف: This paper proposes a new approach for set-membership state estimation of switched discrete-time linear systems subject to bounded disturbances and noises. A zonotopic outer approximation of the state estimation domain is computed and a new criterion is proposed to reduce the size of the zonotope at each sample time. The zonotopic set-membership estimator design for switched systems is provided within the LMI framework. The extension of the proposed scheme to deal with unknown inputs is also presented. An application to vehicle lateral dynamics state estimation is provided. Simulation results demonstrate the effectiveness of the proposed algorithm and highlight its advantages over the existing methods. ; Peer Reviewed ; Postprint (author's final draft)
نوع الوثيقة: article in journal/newspaper
وصف الملف: 30 p.; application/pdf
اللغة: English
Relation: https://www.sciencedirect.com/science/article/abs/pii/S0016003222005968; http://hdl.handle.net/2117/386622
DOI: 10.1016/j.jfranklin.2022.08.044
الاتاحة: http://hdl.handle.net/2117/386622
https://doi.org/10.1016/j.jfranklin.2022.08.044
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International ; http://creativecommons.org/licenses/by-nc-nd/4.0/ ; Open Access
رقم الانضمام: edsbas.19789A4F
قاعدة البيانات: BASE
الوصف
DOI:10.1016/j.jfranklin.2022.08.044