Title data
Grüne, Lars ; Dower, Peter:
Hamiltonian based a posteriori error estimation for HamiltonJacobiBellman equations.
In:
Proceedings of the 23rd International Symposium on Mathematical Theory of Networks and Systems. 
Hong Kong
,
2018
.  pp. 372374
This is the latest version of this item.
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Project information
Project title: 
Project's official title Project's id Model predictive PDE control for energy efficient building operation: economic model predictive control and time varying systems GR 1569/161 

Project financing: 
Deutsche Forschungsgemeinschaft 
Abstract in another language
In this extended abstract we present a method for the a posteriori error estimation of the numerical solution to HamiltonJacobiBellman PDEs related to infinite horizon optimal control problems. The method uses the residual of the Hamiltonian, i.e., it checks how good the computed numerical solution satisfies the PDE and computes the difference between the numerical and the exact solution from this mismatch. We present results both for discounted and for undiscounted problems, which require different mathematical techniques. For discounted problems, an inherent contraction property can be used while for undiscounted problems an asymptotic stability property of the optimally controlled system is exploited.
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Hamiltonian based a posteriori error estimation for HamiltonJacobiBellman equations. (deposited 17 Feb 2018 22:00)
 Hamiltonian based a posteriori error estimation for HamiltonJacobiBellman equations. (deposited 15 Aug 2018 06:37) [Currently Displayed]