Abstract
Component-based design is a common practice in engineering system design, and the problem of selecting components to optimize a system has gained traction in the literature. Existing approaches typically solve the discrete problem directly or parameterize the components and solve the problem in the continuous domain. This paper develops a hybrid methodology for component-based design optimization that leverages continuous-domain information to efficiently search the discrete design space. As an example, the process is applied to a quadrotor system to maximize a business-oriented objective function.
| Original language | English (US) |
|---|---|
| Title of host publication | 2022 American Control Conference, ACC 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 3985-3990 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781665451963 |
| DOIs | |
| State | Published - 2022 |
| Externally published | Yes |
| Event | 2022 American Control Conference, ACC 2022 - Atlanta, United States Duration: Jun 8 2022 → Jun 10 2022 |
Publication series
| Name | 2022 American Control Conference (ACC) |
|---|
Conference
| Conference | 2022 American Control Conference, ACC 2022 |
|---|---|
| Country/Territory | United States |
| City | Atlanta |
| Period | 6/8/22 → 6/10/22 |
Bibliographical note
Funding Information:*Research supported by the National Science Foundation Engineering Research Center for Power Optimization of Electro-Thermal Systems (POETS) with cooperative agreement EEC-1449548.
Publisher Copyright:
© 2022 American Automatic Control Council.
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