Control algorithms for discrete delayed systems with unknown inputs and model parameters using nonparametric technique

Processing of Experimental Data by Means of Nonparametric Statistics

“…When processing experimental data in problems of recovery of unknown function of random variables distribution density the methods of nonparametric statistics based on Parzen -Rosenblatt estimates are mostly used [16][17][18][19][20][21][22][23][24][25][26][27], or the decomposition method with respect to basis functions [28,29]. …”