Adaptive Observer for a Class of Nonlinear Fractional-Order Systems

Resumen: In this work we present an adaptive observer design for a class of Nonlinear-Fractional-Order Systems (NFOS) where, using an analysis based on quadratic Lyapunov functions and an extension of Barbalat's theorem to the fractional-order case, the asymptotic convergence of the observed states to the real ones is proven, as well as the boundedness of the parameter reconstruction. Numeric examples are presented to show the effectiveness of the proposed design.

¿Cómo citar?

González-Olvera, Marcos A. & Tang, Yu. Adaptive Observer for a Class of Nonlinear Fractional-Order Systems. Memorias del Congreso Nacional de Control Automático, pp. 114-118, 2018.

Palabras clave

Fractional order systems, adaptive observers

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