Sparse Optimization of Output Error Model Using Genetic Algorithm

Abstract

Sparse optimization for the identification of parametric model structure of an ARX model is equivalent to the estimation of the parameter vector. This paper discusses the sparse estimation of output error models by using nonconvex penalty. The number of parameters to...