  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.
