Optimal Control by Iterative Dynamic Programming with Deterministic and Random Candidates for Control
Author:
Affiliation:
1. Department of Chemical Engineering, University of Toronto, Toronto, Ontario M5S 3E5, Canada
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ie990381t
Reference21 articles.
1. Use of random admissible values for control in iterative dynamic programming
2. Multiplicity of solutions in the optimization of a bifunctional catalyst blend in a tubular reactor
3. Evaluation of the parameters used in iterative dynamic programming
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