Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6905679 | Applied Soft Computing | 2014 | 13 Pages |
Abstract
Many industrial processes belong to nonlinear distributed parameter systems (DPS) with significant spatio-temporal dynamics. They often work at multiple operating points due to different production and working conditions. To obtain a global model, the direct modeling and experiments in a large operating range are often very difficult. Motivated by the multi-modeling, a fuzzy-based spatio-temporal multi-modeling approach is proposed for nonlinear DPS. To obtain a reasonable operating space division, a priori information and the fuzzy clustering are used to decompose the operating space from coarse scale to fine scale gradually. To get a smooth global model, a three-domain (3D) fuzzy integration method is proposed. Using the proposed method, the model accuracy will be improved and the experiments become easier.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Chenkun Qi, Han-Xiong Li, Shaoyuan Li, Xianchao Zhao, Feng Gao,