Approximate dynamic programming solutions with a single network adaptive critic for a class of nonlinear systems

Approximatedynamicprogramming(ADP)formulationimplementedwithanadaptivecritic(AC)-basedneuralnetwork(NN)structurehasevolvedasapowerfultechniqueforsolvingtheHamilton-Jacobi-Bellman(HJB)equations.AsinterestinADPandtheACsolutionsareescalatingwithtime,thereisadireneedtoconsiderpossibleenablingfactorsfortheirimplementations.AtypicalACstructureconsistsoftwointeractingNNs,whichiscomputationallyexpensive.Inthispaper,anewarchitecture,calledthe'cost-functio...