Nonparametric estimation of nonlinear dynamic systems using semirecursive regression estimates Original Research Article

In the paper we apply semirecursive nonparametric estimation techniques for the estimation of dynamic systems. We investigate in detail the estimation of Hammerstein dynamic systems using kernel and partitioning regression estimates. In particular we propose estimation algorithms and study their convergence for all distributions of the data.