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]
< Reduce
Centro Nacional de Investigación y Desarrollo Tecnológico [Mexico] [CENIDET]
Language
EN
Communication dans un congrès
This item was published in
Congreso Nacional de Control Automático 2023 (CNCA 2023), 2023-10-27, Acapulco.
English Abstract
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 ...Read more >
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.Read less <
English Keywords
Lipschitz nonlinear system
Unknown parameter
Nonlinear adaptive observer
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