Display Abstract

Title Sparse stabilization of dynamical systems driven by attraction and avoidance forces

Name Mattia Bongini
Country Germany
Email mattia.bongini@ma.tum.de
Co-Author(s) Massimo Fornasier
Submit Time 2014-01-08 10:41:50
Session
Special Session 48: Sparse optimization and optimal control in dynamical systems and PDEs
Contents
In this talk we address dynamical systems of agents driven by attraction and repulsion forces, modeling cohesion and collision avoidance. When the total energy, which is composed of a kinetic part and a geometrical part describing the balance between attraction and repulsion forces, is below a certain threshold, then it is known that the agents will converge to a dynamics where mutual space confi nement is guaranteed. In this paper we question the construction of a stabilization strategy, which requires the minimal amount of external intervention for nevertheless inducing space con finement, also when the initial energy threshold is violated. Our main result establishes that if the initial energy exceeds the threshold mainly because of its kinetic component, then a sparse control instantaneously applied with enough strength on the most rowdy agent, i.e., the one with maximal speed, will be able to steer in finite time the system to an energy level under the threshold.