Identificación con estimación para sistemas tipo caja negra/Black box systems identification with estimation

In a black box system, the internal parameters are not observables between input-output relationships. An approach is made knowing as estimation, based on the second probability moment. These results with a functional error and the innovation process are needed into identification structure. This pr...

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Published in:Revista Facultad de Ingeniería 2014-09 (72), p.35
Main Authors: Juárez, José de Jesús Medel, Álvarez, María Teresa Zagaceta, Orozco, Rosaura Palma
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Álvarez, María Teresa Zagaceta
Orozco, Rosaura Palma
description In a black box system, the internal parameters are not observables between input-output relationships. An approach is made knowing as estimation, based on the second probability moment. These results with a functional error and the innovation process are needed into identification structure. This process is known as an adaptive filter. Achieving a good convergence level with respect to the reference signal illustratively exemplified into simulation. The DC motor dynamical behavior is described by an adaptive filter without knowing the internal operation.
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title Identificación con estimación para sistemas tipo caja negra/Black box systems identification with estimation
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