Journal
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
Volume 67, Issue 6, Pages 3067-3074Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2021.3092561
Keywords
Optimization; Couplings; Communication networks; Cost function; Random processes; Distributed algorithms; Convergence; Asynchronous method; multiagent optimization; stochastic time-varying network
Funding
- European Union [675318]
Ask authors/readers for more resources
This paper discusses a multiagent optimization problem arising from energy systems management. The proposed algorithm is based on solving the dual of the augmented problem, addressing the separable and convex cost function, non-strong convexity, and edge-based coupling equality constraints. The time-varying nature of the communication network and the asynchronous execution of the algorithm are also considered.
A multiagent optimization problem motivated by the management of energy systems is discussed. The associated cost function is separable and convex although not necessarily strongly convex and there exist edge-based coupling equality constraints. In this regard, we propose a distributed algorithm based on solving the dual of the augmented problem. Furthermore, we consider that the communication network might be time-varying and the algorithm might be carried out asynchronously. The time-varying nature and the asynchronicity are modeled as random processes. Then, we show the convergence and the convergence rate of the proposed algorithm under the aforementioned conditions.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available