Schrödinger Bridges over Kinetic Swarming Models
This paper proposes a minimum-energy collective steering framework for inertial swarms subject to stochastic disturbances and governed by mean-field interaction models, utilizing Schrödinger bridge theory to derive optimal state-feedback controls that steer the system between prescribed endpoint distributions by dynamically exploiting or counteracting natural interaction forces.