Abstract

We review different control design problems for multi-agent systems. The design is driven by an interplay between self-organization dynamics, nonlinear control theory, and dynamic optimization. As the number of agents increases, we discuss synthesis issues arising in the control of large-scale interacting particle systems in the framework of mean field control and data-driven methods.