A Continuous-Time Algorithm with Quantified Event-Triggered for Distributed Resource Allocation Optimization

Lecture Notes in Computer Science（2024）

Southeast Univ

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Abstract

This paper proposes a continuous-time optimization algorithm with quantized event triggered communication mechanisms to address distributed resource allocation optimization. The introduction of an event-triggered communication mechanism aims to diminish the consumption of communication bandwidth. Besides, the quantization of communication information is applied within the multi-agent system to accommodate its restricted communication capacity. More precisely, a system incorporating a quantized periodic communication mechanism is introduced. Then, it is demonstrated that the state solution of established continuous time optimization algorithm utilizing quantized event-triggered communication converges to an optimal solution Finally, the simulations characterize the effectiveness of the proposed algorithm.

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Key words

Distributed resource allocation,Quantized communication,Event-triggered

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