Dynamic Event-Driven ADP for N-Player Nonzero-Sum Games of Constrained Nonlinear Systems

In this paper, the dynamic event-driven optimal control problem is investigated for a class of continuous-time nonlinear systems subject to asymmetric input constraints in the framework of nonzero-sum (NZS) games. Initially, by constructing a modified value function, the respective asymmetric input constraint requirements of the controllers involved in the NZS games are successfully satisfied. Then, based on the Bellman’s optimality principle, the N-coupled Hamilton-Jacobi equations are derived for the N-player NZS games. After that, the adaptive dynamic programming (ADP) method is employed to seek for the optimal control policies, in which the simpler single critic neural network structure, instead of the…

• NN
  National Natural Science Foundation of China

  Awards: 62433018, 62473060
• LR
  Liaoning Revitalization Talents Program

  Award: XLYC2203201