TITLE:
Dynamic Programming to Identification Problems
AUTHORS:
Nina N. Subbotina, Evgeniy A. Krupennikov
KEYWORDS:
Nonlinear System, Optimal Control, Identification, Discrepancy, Dynamic Programming
JOURNAL NAME:
World Journal of Engineering and Technology,
Vol.4 No.3D,
October
29,
2016
ABSTRACT: An identification problem is considered as inaccurate measurements of dynamics on a time interval are given. The model has the form of ordinary differential equations which are linear with respect to unknown parameters. A new approach is presented to solve the identification problem in the framework of the optimal control theory. A numerical algorithm based on the dynamic programming method is suggested to identify the unknown parameters. Results of simulations are exposed.