Paper
Improvement on Direct Weight Optimization Identification
- Authors:
- Wang Jian-hong
- Abstract
- To study a direct weight optimization method in nonlinear system identification, linear terms were added in regards to observed input sequences in the former linear affine function to approximate a nonlinear property. Choosing two unknown weights concerning more linear terms, a detailed process for choosing these unknown weights was derived, and their key or auxiliary roles between the unknown weights were analyzed. Then the auxiliary role of the added unknown weights was shown in the process of approximating the nonlinear system.
- Keywords
- Nonlinear System; Direct Weight Optimization; Weight Selection
- StartPage
- 1
- EndPage
- 9
- Doi
- 10.18005/JCSE0301001