Nash Equilibrium Seeking with Second-Order Dynamic Agents

Game with second-order dynamic agents is explored for the case where the payoff function of each agent is concave and continuously differentiable. Several control laws that seek the Nash equilibrium by utilizing only the knowledge of each agent's payoff function are proposed. We use the results from a convex optimization framework to derive our control laws. We illustrate our approach with a numerical example.