Estimation of multiple unknown parameters using adaptive observers for Lipschitz nonlinear systems
ALVARADO-MENDEZ, Pedro-Eusebio
Centro Nacional de Investigación y Desarrollo Tecnológico [Mexico] [CENIDET]
Centro Nacional de Investigación y Desarrollo Tecnológico [Mexico] [CENIDET]
ASTORGA ZARAGOZA, Carlos Manuel
Centro Nacional de Investigación y Desarrollo Tecnológico [Mexico] [CENIDET]
Voir plus >
Centro Nacional de Investigación y Desarrollo Tecnológico [Mexico] [CENIDET]
ALVARADO-MENDEZ, Pedro-Eusebio
Centro Nacional de Investigación y Desarrollo Tecnológico [Mexico] [CENIDET]
Centro Nacional de Investigación y Desarrollo Tecnológico [Mexico] [CENIDET]
ASTORGA ZARAGOZA, Carlos Manuel
Centro Nacional de Investigación y Desarrollo Tecnológico [Mexico] [CENIDET]
Centro Nacional de Investigación y Desarrollo Tecnológico [Mexico] [CENIDET]
OSORIO GORDILLO, Gloria Lilia
Centro Nacional de Investigación y Desarrollo Tecnológico [Mexico] [CENIDET]
< Réduire
Centro Nacional de Investigación y Desarrollo Tecnológico [Mexico] [CENIDET]
Langue
EN
Communication dans un congrès
Ce document a été publié dans
Congreso Nacional de Control Automático 2023 (CNCA 2023), 2023-10-27, Acapulco (MX).
Résumé en anglais
This work presents the design of an adaptive observer for a class of Lipschitz nonlinear systems, where the observer is able to estimate more than one unknown parameter. Thanks to this, it is possible to estimate the state ...Lire la suite >
This work presents the design of an adaptive observer for a class of Lipschitz nonlinear systems, where the observer is able to estimate more than one unknown parameter. Thanks to this, it is possible to estimate the state vector of the system, knowing its behavior, facilitating the monitoring of nonlinear Lipschitz systems, applying it to the monitoring of a semiactive suspension, in order to know the stiffness parameters of the tire and chassis,obtaining an adequate reading of the system, and thus preventing possible anomalies of the system. Ensuring the stability of the observer, the gains are calculated by LMI obtained by Lyapunov analysis. The proposed observer is evaluated by estimating the unknown states and parameters applied to a mechanical system, monitoring its performance.< Réduire
Mots clés en anglais
Lipschitz nonlinear system
Unknown parameter
Nonlinear adaptive observer.
Unités de recherche