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A quadratic programming approach for network distributed ℓ1 optimal control

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publication2025 IEEE 64th Conference on Decision and Control, CDC 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5246-5251
Number of pages6
ISBN (Electronic)9798331526276
DOIs
StatePublished - 2025
Event64th IEEE Conference on Decision and Control, CDC 2025 - Rio de Janeiro, Brazil
Duration: Dec 9 2025Dec 12 2025

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference64th IEEE Conference on Decision and Control, CDC 2025
Country/TerritoryBrazil
CityRio de Janeiro
Period12/9/2512/12/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

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