Journal
JOURNAL OF PROCESS CONTROL
Volume 16, Issue 3, Pages 193-204Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jprocont.2005.06.001
Keywords
nonlinear systems; distributed parameter systems; complex systems; stochastic systems; uncertain dynamic systems; optimal control; system sensitivity
Ask authors/readers for more resources
New applications in materials, medicine, and computers are being discovered where the control of events at the molecular and nanoscopic scales is critical to product quality, although the primary manipulation of these events during processing occurs at macroscopic length scales. This motivates the creation of tools for the design and control of multiscale systems that have length scales ranging from the atomistic to the macroscopic. This paper describes a systematic approach that consists of stochastic parameter sensitivity analysis, Bayesian parameter estimation applied to ab initio calculations and experimental data, model-based experimental design., hypothesis mechanism selection, and multistep optimization. (c) 2005 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available