  Cooperative systems are systems in which the forces among agents are
non-repulsive. The free evolution of such systems can tend to the formation of
patterns, such as consensus or clustering, depending on the properties and
intensity of the interaction forces between agents. The kinetic cooperative
systems are obtained as the mean field limits of these systems when the number
of agents goes to infinity. These limit dynamics are described by transport
partial differential equations involving non-local terms. In this article, we
design a simple and robust control strategy steering any kinetic cooperative
system to approximate alignment. The computation of the control at each instant
will only require knowledge of the size of the support of the crowd in the
phase space and of the Lipschitz constant of the interaction forces. Besides,
the control we apply to our system is sparse, in the sense that it acts only on
a small portion of the total population at each time. It also presents the
features of being obtained through a constructive procedure and to be
independent on the number of agents, making it convenient for applications.
