  We address the problem of controlling the density of a large ensemble of
follower agents by acting on group of leader agents that interact with them. We
formulate the problem as a system of coupled partial integro-differential
equations describing for the dynamics of the leaders' and followers' densities.
We define feasibility conditions and propose two control architectures for
exponential global stability. The first architecture is a feed-forward scheme
for the followers. It adjusts the leaders' density via a feedback loop, which
leverages information about leaders and a fixed reference density, to direct
followers towards a target distribution. The second, dual feedback strategy
employs a reference-governor to dynamically adapt the leaders' reference
density based on measurements on both leaders and followers. Initially analyzed
in one dimension, our methods are expanded to multi-dimensional applications.
Numerical validations and an application in continuification-based control of
leader-follower multiagent systems confirm the effectiveness of our approaches.
