Approximate Feedback Nash Equilibria in Constrained Differential Games via MPC
A Model Predictive Control approach approximates infinite-horizon feedback Nash equilibrium trajectories by repeatedly solving finite-horizon open-loop games. It targets multi-agent control settings, including physical human-machine interaction, where agent responses and state/input constraints must be respected.