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Communication Dans Un Congrès Année : 2023

Estimation of multiple unknown parameters using adaptive observers for Lipschitz nonlinear systems

Résumé

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.
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Dates et versions

hal-04185068 , version 1 (22-08-2023)

Identifiants

  • HAL Id : hal-04185068 , version 1

Citer

Pedro-Eusebio Alvarado-Mendez, Carlos Manuel Astorga Zaragoza, Adriana Aguilera Gonzalez, Gloria Lilia Osorio Gordillo, Juan Reyes Reyes. Estimation of multiple unknown parameters using adaptive observers for Lipschitz nonlinear systems. Congreso Nacional de Control Automático 2023 (CNCA 2023), Asociacion Mexicana de Control Automatico AMCA, Oct 2023, Acapulco (MX), Mexico. ⟨hal-04185068⟩
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