State estimation-based parameter identification for a class of nonlinear fractional-order systems
Lorenz Josue Oliva-Gonzalez,
Rafael Martínez-Guerra
Abstract:Parametric identification is an important part of system theory since knowledge of the parameters allows the analysis and control of the system. The aim of this paper is to propose a novel robust (against measurement noise) parameter identification method for a class of nonlinear fractional-order systems. In order to solve the parametric identification we carry out this problem to a state estimation problem, we introduce a Fractional Algebraic Identifiability (FAI) property which allows to represent the system… Show more
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