Special Session 48: Sparse optimization and optimal control in dynamical systems and PDEs
Contents
We study controlled alignment models in finite dimension and we explore how to enforce pattern formation or convergence to consensus in a group of interacting agents. In particular we focus on the design of control strategies requiring a small amount of external intervention: we want to minimize at each instant of time the number of leaders needed to steer the systems to the desired state. These sparsity features are desirable in view of practical issues.