Robust observer for input and state estimation in building structure systems - Normandie Université
Article Dans Une Revue Journal of Vibration and Control Année : 2022

Robust observer for input and state estimation in building structure systems

Rene Galaz-Palma
  • Fonction : Auteur
Omar Hernández-González
Guillermo Valencia-Palomo
Adrian Espinoza-Molina
  • Fonction : Auteur
María-Eusebia Guerrero-Sánchez

Résumé

This paper develops a robust observer for a class of linear systems subject to unknown signals, uncertainties, and disturbance output measurements for building structure systems. The highlight of the proposed observer is that it mitigates the adverse effects present in physical systems as it happens with the structural systems of buildings. The proposed robust observer provides a simultaneous estimation of building displacements and velocities (state vector) and the seismic force acceleration signal (unknown input) from noisy acceleration measurements of the structure. These estimations can help to reduce the displacements of building structure systems with the aid of a vibration controller. The convergence analysis of the proposed robust observer is based on Lyapunov theory, which resulted in a simple set of Linear Matrix Inequalities. An example considering a two-story building-like structure was performed to illustrate the effectiveness of the proposed observer.
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Dates et versions

hal-03839183 , version 1 (04-11-2022)

Identifiants

Citer

Rene Galaz-Palma, Boubekeur Targui, Omar Hernández-González, Guillermo Valencia-Palomo, Adrian Espinoza-Molina, et al.. Robust observer for input and state estimation in building structure systems. Journal of Vibration and Control, 2022, pp.107754632211178. ⟨10.1177/10775463221117863⟩. ⟨hal-03839183⟩
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