.png){kind=icon}
.png){kind=icon}
Return
Dynamic hybrid modeling: Incremental identification and model predictive control
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compchemeng.2025.109413.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• New method for identifying general dynamic hybrid models incrementally. • Enables standard ML tools for hybrid modeling. • Regularization reduces unphysical behavior in data-driven model elements. • Bioreactor case shows method works for large models with limited data.
Keywords:
Hybrid modeling
Efficient modeling
Machine learning
Dynamic process modeling
Model predictive control
Advanced process control
Physics-informed artificial intelligence
Journal
C
IF:
3.9
Papers:
8.1K
Citations:
1.7W