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Distributed Augmented Lagrangian Method for Link-Based Resource Sharing Problems of Multiagent Systems
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DOI：10.1109/TAC.2021.3092561.png)
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摘要
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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.
Keyword:
Optimization
Couplings
Communication networks
Cost function
Random processes
Distributed algorithms
Convergence
Asynchronous method
multiagent optimization
stochastic time-varying network
期刊
IF:
7
论文数:
1.3W
被引数:
6.7W
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