2026-04-17T06:23:21Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/101602025-07-17T01:25:02Zcom_2072_1033col_2072_452950

Passive Robust Fault Detection for Interval LPV Systems using Zonotopes Nejjari Akhi-Elarab, Fatiha Puig Cayuela, Vicenç Montes de Oca, Saúl Sadeghzadeh, Atefeh Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control Àrees temàtiques de la UPC::Informàtica::Automàtica i control Automatic control Automàtica Detectors In this paper the problem of robust fault detection using an interval observer for dynamic systems characterized by LPV (Linear Parameter Varying) models is presented. The observer face the robustness problem using two complementary strategies. Parametric modeling uncertainties are considered unknown but bounded by intervals. Their effect is addressed using an interval state observation method based on zonotope representation of the set of possible states. The observer gain is designed via pole placement using LMI (Linear Matrix Inequalities) formulation. The method is applied to a LPV representation of a Twin Rotor MIMO System. Postprint (author’s final draft) 2009 Conference report Nejjari, F. [et al.]. Passive robust fault detection for interval LPV systems using zonotopes. A: International Workshop on Principles of Diagnosis. "20th International Workshop on Principles of Diagnosis". Stockholm: 2009, p. 1-10. https://hdl.handle.net/2117/10160 eng Open Access 10 p. application/pdf