Title :
Prediction uncertainty from models and data
Author :
Renklach, Michael F. ; Packard, Andrew ; Seiler, Pete
Author_Institution :
Dept. of Mech. Eng., California Univ., Berkeley, CA, USA
Abstract :
We present an approach to uncertainty propagation in dynamic systems, exploiting information provided by related experimental results along with their models. Our computational procedure draws from ideas and tools that are now common in robust control theory. A case study on a well-known database of methane combustion experiments and models demonstrates the viability of our proposed method.
Keywords :
optimisation; robust control; computational procedure; dynamic systems; methane combustion experiments; prediction uncertainty; robust control theory; uncertainty propagation; Chemicals; Combustion; Data processing; Databases; Equations; Mechanical engineering; Numerical simulation; Predictive models; Robust control; Uncertainty;
Conference_Titel :
American Control Conference, 2002. Proceedings of the 2002
Print_ISBN :
0-7803-7298-0
DOI :
10.1109/ACC.2002.1024578