Abstract
Decomposition is a fundamental principle of resolving complexity by scale, which is utilized in a variety of decomposition-based algorithms for control and optimization. In this paper, we aim to give a tutorial review of the following aspects: (i) how to decompose a network representing a control or optimization problem according to its latent block structure, (ii) how decomposition is determined for distributed control, and (iii) how optimization problems are solved under decomposition. Directions for further developing decomposition methods and decomposition-based control and optimization algorithms are also discussed.
| Original language | English (US) |
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| Title of host publication | 2023 American Control Conference, ACC 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 3113-3129 |
| Number of pages | 17 |
| ISBN (Electronic) | 9798350328066 |
| DOIs | |
| State | Published - 2023 |
| Event | 2023 American Control Conference, ACC 2023 - San Diego, United States Duration: May 31 2023 → Jun 2 2023 |
Publication series
| Name | Proceedings of the American Control Conference |
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| Volume | 2023-May |
| ISSN (Print) | 0743-1619 |
Conference
| Conference | 2023 American Control Conference, ACC 2023 |
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| Country/Territory | United States |
| City | San Diego |
| Period | 5/31/23 → 6/2/23 |
Bibliographical note
Publisher Copyright:© 2023 American Automatic Control Council.