Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4629193 | Applied Mathematics and Computation | 2013 | 10 Pages |
Abstract
This paper discusses parameter estimation problems of nonlinear system modeling. Two model transformation based estimation methods are proposed. The basic idea is to transform a complex nonlinear optimization problem into a linear or simple nonlinear optimization problem which is easy to solve. Then, according to the gradient search principle and the Newton method, a gradient based iterative algorithm and a Newton iterative algorithm are derived to determine the parameters of the nonlinear systems. Finally a numerical example is provided.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Junhong Li, Rui Ding,