An LMI-Based Unknown Input Observer for Nonlinear Systems

https://doi.org/10.58571/CNCA.AMCA.2023.018

Resumen: This paper presents a novel unknown input observer for nonlinear systems which, based on as much time derivatives of the output as its relative degree plus one, is able to asymptotically reconstruct both the state and the unknown input for a class of nonlinear systems. Design conditions are expressed as linear matrix inequalities thanks to a convex representation of the nonlinear terms involved in the error system which, in turn, is obtained from a recently appeared factorization. Examples are provided to highlight the advantages of the proposal.

¿Cómo citar?

Quintana, Daniel; Estrada-Manzo, Víctor; Bernal, Miguel. An LMI-Based Unknown Input Observer for Nonlinear Systems. Memorias del Congreso Nacional de Control Automático, pp. 7-13, 2023. https://doi.org/10.58571/CNCA.AMCA.2023.018

Palabras clave

Detección y Aislamiento de Fallas; Control de Sistemas No Lineales; Control Discontinuo (modos deslizantes)

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