Multiple-input single-output nonlinear system identification using Bezier- Bernstein polynomials with noise cancellation
Subject Areas : Electrical Engineering
Mohammad
Jahani Moghaddam
1
(Department of Electrical Engineering, Langarud Branch, Islamic Azad University, Langarud.)
Keywords: Nonlinear System Identification, Multi Input- Single Output Hammerstein Model, Bezier-Bernstein Polynomial, Modified Genetic Algorithm,
Abstract :
This article deals with an identification method for the fractional multiple-input single-output model. It is considered the Hammerstein model to separate dynamic linear and static nonlinear behaviors. Which Bezier-Bernstein polynomials are used to approximate the nonlinear functions and the fractional order transfer function is applied to estimate the linear part. A hybrid identification method based on a modified evolutionary algorithm and a recursive classic method is presented. As an advantage, this method can also correctly identify the system in the presence of output noise. A photovoltaic experimental system and a numerical example are used to illustrate the efficiency and performance of the proposed scheme.
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