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

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.