Estimation of Multiple Unknown Parameters Using Adaptive Observers for Lipschitz Nonlinear Systems

https://doi.org/10.58571/CNCA.AMCA.2023.051

Resumen: 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 system states, which facilitates the monitoring of nonlinear Lipschitz systems. The proposed observer is tested for monitoring a semiactive suspension, in order to know the stiffness parameters of the tire and chassis, allowing the detection of possible anomalies in the system. To ensure observer stability, the gains are calculated by LMI obtained by Lyapunov analysis. The proposed observer is evaluated by estimating the unknown states and parameters of a mechanical system allowing monitoring of its performances.

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Alvarado-Mendez, Pedro-Eusebio; Astorga-Zaragoza, Carlos; Aguilera Gonzalez, Adriana; Osorio-Gordillo, Gloria-Lilia; Reyes-Reyes, Juan. Estimation of Multiple Unknown Parameters Using Adaptive Observers for Lipschitz Nonlinear Systems. Memorias del Congreso Nacional de Control Automático, pp. 199-204, 2023. https://doi.org/10.58571/CNCA.AMCA.2023.051

Palabras clave

Sistemas Adaptables; Control de Sistemas No Lineales; Detección y Aislamiento de Fallas

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