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Distributed Optimization for Resource Allocation Problem with Dynamic Event-Triggered Strategy
Feilong Guo1, Xinrui Chen1, Mengyao Yue1
1College of Mathematics and System Sciences, Xinjiang University, Urumqi 830017, China.
Abstract:
This study aims to unravel the resource allocation problem (RAP) by using a consensus-based distributed optimization algorithm under dynamic event-triggered (DET) strategies. Firstly, based on the multi-agent consensus approach, a novel one-to-all DET strategy is presented to solve the RAP. Secondly, the proposed one-to-all DET strategy is extended to a one-to-one DET strategy, where each agent transmits its state asynchronously to its neighbors. Furthermore, it is proven that the proposed two types of DET strategies do not have Zeno behavior. Finally, numerical simulations are provided to validate and illustrate the effectiveness of the theoretical results.
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