摘要
Approximatedynamicprogramming(ADP)formulationimplementedwithanadaptivecritic(AC)-basedneuralnetwork(NN)structurehasevolvedasapowerfultechniqueforsolvingtheHamilton-Jacobi-Bellman(HJB)equations.AsinterestinADPandtheACsolutionsareescalatingwithtime,thereisadireneedtoconsiderpossibleenablingfactorsfortheirimplementations.AtypicalACstructureconsistsoftwointeractingNNs,whichiscomputationallyexpensive.Inthispaper,anewarchitecture,calledthe'cost-functio...
出版日期
2011年03月13日(中国期刊网平台首次上网日期,不代表论文的发表时间)