Abstract
We present an approximation method for the distributed ℓ1 output-feedback control problem under network-induced sparsity and delays, assuming quadratic invariance with the plant. We avoid structured doubly co-prime factorizations and instead start from the plant's spectral factorization. We introduce a mixed ℓ1/ℓ2 norm with arbitrary truncation and formulate a jointly convex, two-stage optimization. We establish tight upper and lower bounds through a primal-dual analysis. We cast the method as a quadratic program and illustrate its effectiveness with a numerical example.
| Original language | English (US) |
|---|---|
| Title of host publication | 2025 IEEE 64th Conference on Decision and Control, CDC 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 5246-5251 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798331526276 |
| DOIs | |
| State | Published - 2025 |
| Event | 64th IEEE Conference on Decision and Control, CDC 2025 - Rio de Janeiro, Brazil Duration: Dec 9 2025 → Dec 12 2025 |
Publication series
| Name | Proceedings of the IEEE Conference on Decision and Control |
|---|---|
| ISSN (Print) | 0743-1546 |
| ISSN (Electronic) | 2576-2370 |
Conference
| Conference | 64th IEEE Conference on Decision and Control, CDC 2025 |
|---|---|
| Country/Territory | Brazil |
| City | Rio de Janeiro |
| Period | 12/9/25 → 12/12/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
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