Approximate Feedback Nash Equilibria in Constrained Differential Games via MPC

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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.

Why it matters

It offers a computationally tractable way to derive time-consistent control strategies in systems with multiple interacting agents and explicit constraints.

Original headline: Approximate Feedback Nash Equilibria in Constrained Differential Games via Model Predictive Control with Upper Bound Guarantees

Read the original: arXiv — Systems and Control (eess.SY)

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Approximate Feedback Nash Equilibria in Constrained Differential Games via MPC

Why it matters

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