Nonlinear Mechanical System Identification Using Discrete-time Volterra Models and Kautz Filter
نویسنده
چکیده
The present paper is concerned with the nonparametric identification of mechanical systems with mild nonlinearities using a Wiener-Volterra model. The paper employs some classical developed results to describe the discrete-time Volterra models using orthonormal Kautz functions. If the two parameters of these filter sets, associated with a Volterra series truncation, are properly designed, the number of parameters needed to represent the Volterra kernels is drastically reduced. Numerical tests illustrate the results by detecting the first-order and the second-order Volterra kernels.
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