English

Event-Driven Receding Horizon Control of Energy-Aware Dynamic Agents For Distributed Persistent Monitoring

Systems and Control 2021-02-26 v1 Systems and Control Optimization and Control

Abstract

This paper addresses the persistent monitoring problem defined on a network where a set of nodes (targets) needs to be monitored by a team of dynamic energy-aware agents. The objective is to control the agents' motion to jointly optimize the overall agent energy consumption and a measure of overall node state uncertainty, evaluated over a finite period of interest. To achieve these objectives, we extend an established event-driven Receding Horizon Control (RHC) solution by adding an optimal controller to account for agent motion dynamics and associated energy consumption. The resulting RHC solution is computationally efficient, distributed and on-line. Finally, numerical results are provided highlighting improvements compared to an existing RHC solution that uses energy-agnostic first-order agents.

Keywords

Cite

@article{arxiv.2102.12963,
  title  = {Event-Driven Receding Horizon Control of Energy-Aware Dynamic Agents For Distributed Persistent Monitoring},
  author = {Shirantha Welikala and Christos G. Cassandras},
  journal= {arXiv preprint arXiv:2102.12963},
  year   = {2021}
}

Comments

Submitted to the 60th IEEE Conference on Decision and Control