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]
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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.
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 ...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