Simultaneous Estimation of State and Unknown Input with Hinfinity Guarantee on Error-Bounds for Fuzzy Descriptor Systems - Université Polytechnique des Hauts-de-France Accéder directement au contenu
Article Dans Une Revue IEEE Control Systems Letters Année : 2019

Simultaneous Estimation of State and Unknown Input with Hinfinity Guarantee on Error-Bounds for Fuzzy Descriptor Systems

Résumé

This paper proposes a new l_infty observer design for fuzzy descriptor systems with unknown inputs. The descriptor form is treated using a singular redundancy system representation. To keep the consistency of the resulting fuzzy observer structure, we make use of a virtual variable playing the role of the one-step ahead state estimate. As a result, the observer gain can be constructed with free-structure decision variables to reduce the design conservatism. Using a fuzzy-basis-dependent Lyapunov function, the observer design is reformulated as a convex optimization problem with a single line search parameter. In particular, the error bounds of both the state and the unknown input estimations can be minimized through the guaranteed l_infty performance level. The effectiveness of the our result is demonstrated with a challenging application on robot manipulators.
Fichier principal
Vignette du fichier
IEEE_ObsDesDiscret_FINAL.pdf (457.14 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03480286 , version 1 (25-11-2023)

Identifiants

Citer

Tran Anh-Tu Nguyen, Thierry-Marie Guerra, Victor Campos. Simultaneous Estimation of State and Unknown Input with Hinfinity Guarantee on Error-Bounds for Fuzzy Descriptor Systems. IEEE Control Systems Letters, 2019, 3 (4), pp.1020-1025. ⟨10.1109/LCSYS.2019.2920768⟩. ⟨hal-03480286⟩
13 Consultations
11 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More