First Page | Document Content | |
---|---|---|
![]() Date: 2013-02-11 17:21:24Mathematical optimization Optimal control Operations research Equations Dynamic programming Bellman equation Artificial neural network Universal approximation theorem Nonlinear system Control theory Systems theory Cybernetics | Source URL: mpra.ub.uni-muenchen.deDownload Document from Source WebsiteFile Size: 268,64 KBShare Document on Facebook |
![]() | Model Predictive Control Anders Hansson October 7, 2010 It is well-known that it is complicated to derive optimal control in feedback form. Usually one has to solve the dynamic programming or Bellman equation,DocID: 1uLN4 - View Document |
![]() | DOC DocumentDocID: 1rtSh - View Document |
![]() | Recursive utility using the stochastic maximum principle Knut K. Aase ∗DocID: 1rbM8 - View Document |
![]() | History dependent public policies David Evans ∗ Thomas J. Sargent‡†DocID: 1r49V - View Document |
![]() | American Economic Review 2012, 102(4): 1663–1691 http://dx.doi.orgaerRisk Aversion and the Labor Margin in Dynamic Equilibrium Models† By Eric T. Swanson*DocID: 1qPn8 - View Document |