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Can we cope with the curse of dimensionality in optimal control by using neural approximators?, , и . CDC, стр. 3540-3545. IEEE, (2001)Neural approximations for feedback optimal control of freeway systems., , , и . IEEE Trans. Vehicular Technology, 50 (1): 302-313 (2001)Neural approximation of team optimal dynamic routing in IP networks., , , , и . CDC, стр. 5140-5145. IEEE, (2004)A Combinatorial Method for Health-Care Districting., , и . Optimization Techniques, том 40 из Lecture Notes in Computer Science, стр. 116-130. Springer, (1975)Distributed-information neural control: the case of dynamic routing in traffic networks., , и . IEEE Trans. Neural Networks, 12 (3): 485-502 (2001)A receding-horizon estimator for discrete-time linear systems., , , , и . ECC, стр. 3753-3758. IEEE, (2001)Optimal control of communication in energy constrained sensor networks through team theory and Extended RItz Method., , , и . IJCNN, стр. 1372-1379. IEEE Computer Society, (2009)Radial basis functions and multilayer feedforward neural networks for optimal control of nonlinear stochastic systems., и . ICNN, стр. 1853-1858. IEEE, (1993)Management of water resource systems in the presence of uncertainties by nonlinear approximation techniques and deterministic sampling., , , и . Comput. Optim. Appl., 47 (2): 349-376 (2010)Neural approximations for multistage optimal control of nonlinear stochastic systems., и . IEEE Trans. Autom. Control., 41 (6): 889-895 (1996)