Abstract
Considering the difference between model and reality, model coefficients of large-scale industrial processes are treated as fuzzy numbers, and an interaction balance method based on fuzzy model is proposed. Three types of interaction balance method: general interaction balance method, interaction balance method with global feedback and interaction balance method with double iterative techniques are studied. Simulation shows that the method provides a faster convergence and better objective function. Furthermore double iterative techniques with fuzzy parameters is the coordination method that requires the smallest number of on-line iterations so far.
| Original language | English |
|---|---|
| Pages (from-to) | 569-574 |
| Number of pages | 6 |
| Journal | Zidonghua Xuebao/Acta Automatica Sinica |
| Volume | 28 |
| Issue number | 4 |
| State | Published - Jul 2002 |
Keywords
- Fuzzy numbers
- Fuzzy programming
- Interaction balance method
- Large-scale industrial processes
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