1st-Order Dynamics on Nonlinear Agents for Resource Allocation over Uniformly-Connected Networks

Mohammadreza Doostmohammadian, Alireza Aghasi, Maria Vrakopoulou, Themistoklis Charalambous

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

2 Sitaatiot (Scopus)

Abstrakti

A general nonlinear 1st-order consensus-based solution for distributed constrained convex optimization is proposed with network resource allocation applications. The solution is used to optimize continuously-differentiable strictly convex cost functions over weakly-connected undirected net-works, while it is anytime feasible and models various non-linearities to account for imperfections and constraints on the (physical model of) agents in terms of limited actuation capa-bilities, e.g., quantization and saturation. Due to such inherent nonlinearities, the existing linear solutions considering ideal agent models may not necessarily converge with guaranteed optimality and anytime feasibility. Some applications also im-pose specific nonlinearities, e.g., convergence in fixed/finite-time or sign-based robust disturbance-tolerant dynamics. Our pro-posed distributed protocol generalizes such nonlinear models. Putting convex set analysis together with nonsmooth Lyapunov analysis, we prove convergence, (i) regardless of the particular type of nonlinearity, and (ii) with weak network-connectivity requirements (uniform-connectivity).

AlkuperäiskieliEnglanti
Otsikko2022 IEEE Conference on Control Technology and Applications, CCTA 2022
KustantajaIEEE
Sivut1184-1189
Sivumäärä6
ISBN (elektroninen)978-1-6654-7338-5
DOI - pysyväislinkit
TilaJulkaistu - 2022
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaIEEE Conference on Control Technology and Applications - Trieste, Italia
Kesto: 23 elok. 202225 elok. 2022

Julkaisusarja

NimiProceedings, Control Technology and Applications
ISSN (painettu)2768-0762
ISSN (elektroninen)2768-0770

Conference

ConferenceIEEE Conference on Control Technology and Applications
LyhennettäCCTA
Maa/AlueItalia
KaupunkiTrieste
Ajanjakso23/08/202225/08/2022

Sormenjälki

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  • FinEst Twins: FinEst Twins

    Nieminen, M.

    01/12/201930/11/2026

    Projekti: EU: Framework programmes funding

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