Some manifold learning considerations toward explicit model predictive control
Author:
Affiliation:
1. Department of Chemical and Biomolecular Engineering Johns Hopkins University Baltimore Maryland
2. Department of Chemical and Biological Engineering Princeton University Princeton New Jersey
Funder
Defense Advanced Research Projects Agency
Publisher
Wiley
Subject
General Chemical Engineering,Environmental Engineering,Biotechnology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.16881
Reference43 articles.
1. A survey of industrial model predictive control technology
2. Model predictive control: Theory and practice—A survey
3. Constrained model predictive control: Stability and optimality
4. Model predictive control: Recent developments and future promise
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