A Distributed Dual Proximal Minimization Algorithm for Constraint-Coupled Optimization Problems

We address constraint-coupled optimization for a system composed of multiple cooperative agents communicating over a time-varying network. We propose a distributed proximal minimization algorithm that is guaranteed to converge to an optimal solution of the optimization problem, under suitable convex...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE control systems letters Ročník 5; číslo 1; s. 259 - 264
Hlavní autoři: Falsone, Alessandro, Prandini, Maria
Médium: Journal Article
Jazyk:angličtina
Vydáno: IEEE 01.01.2021
Témata:
agents-based systems
Communication networks
Convergence
Cost function
Couplings
Distributed algorithms
distributed control
Minimization
Optimization algorithms
ISSN:2475-1456, 2475-1456
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:We address constraint-coupled optimization for a system composed of multiple cooperative agents communicating over a time-varying network. We propose a distributed proximal minimization algorithm that is guaranteed to converge to an optimal solution of the optimization problem, under suitable convexity and connectivity assumptions. The performance of the introduced algorithm is shown on a numerical example of a charging scheduling problem for a fleet of plug-in electric vehicles.
ISSN:2475-1456
2475-1456
DOI:10.1109/LCSYS.2020.3001427