On a Potential Game-theoretic Approach to Event-triggered Distributed Resource Allocation
Optimization and Control
2018-07-24 v1
Abstract
This paper proposes a potential game theoretic approach to address event-triggered distributed resource allocation in multi-agent systems. The fitness dynamic of the population is proposed and exploited as a linear parametervarying dynamic to achieve the event-triggered distributed resource allocation. Firstly, it is shown that the dynamic resembles a consensus protocol and is equivalent to the replicator dynamic. Further, conditions ensuring a minimum time bound on the inter-sampling intervals to avoid Zeno-behavior have been derived. An economic dispatch problem is presented to illustrate the theoretical results.
Cite
@article{arxiv.1807.08679,
title = {On a Potential Game-theoretic Approach to Event-triggered Distributed Resource Allocation},
author = {Prashant Bansode and Sharad Jadhav and Mukesh Patil and Navdeep Singh},
journal= {arXiv preprint arXiv:1807.08679},
year = {2018}
}