제어로봇시스템학회:학술대회논문집
- 1996.10b
- /
- Pages.494-498
- /
- 1996
Fuzzy modeling using transformed input space partitioning
- You, Je-Young (Dept. of Electr. Engr., POSTECH) ;
- Lee, Sang-Chul (Dept. of Electr. Engr., POSTECH) ;
- Won, Sang-Chul (Dept. of Electr. Engr., POSTECH)
- Published : 1996.10.01
Abstract
Three fuzzy input space partitoining methods, which are grid, tree, and scatter method, are mainly used until now. These partition methods represent good performance in the modeling of the linear system and nonlinear system with independent modeling variables. But in the case of the nonlinear system with the coupled modeling variables, there should be many fuzzy rules for acquiring the exact fuzzy model. In this paper, it shows that the fuzzy model is acquired using transformed modeling vector by linear transformation of the modeling vector.
Keywords
- transformed input space partitioning;
- a linear transformation matrix;
- a grid partition;
- a fuzzy modeling;
- a coupled modeling variables