Decision-Making for Complex Systems Subjected to Uncertainties—A Probability Density Function Control Approach

Aiping Wang, Hong Wang

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Decision-making, or optimization, has been a subject of study for many years. For complex systems, such as transportation systems, manufacturing, and power grids, the subject is of particular important in the sense that optimization needs to be performed during both the system design and operation.

Original languageEnglish
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer Science and Business Media Deutschland GmbH
Pages693-724
Number of pages32
DOIs
StatePublished - 2021

Publication series

NameStudies in Systems, Decision and Control
Volume325
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

Funding

Acknowledgements Part of materials presented here reflect the work of the second author when he was a chair professor in the University of Manchester (UK) before he moved to USA in 2016. The support from the University of Manchester is therefore gratefully acknowledged. In addition, this manuscript has been co-authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a nonexclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (https://energy.gov/downloads/doe-publicaccess-plan).

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