Title data
Grüne, Lars ; Schaller, Manuel ; Schiela, Anton:
Sensitivity analysis of optimal control motivated by model predictive
control.
In:
Proceedings of the 23rd International Symposium on Mathematical Theory of Networks and Systems. 
Hong Kong
,
2018
.  pp. 9396
This is the latest version of this item.
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Project information
Project title: 
Project's official title Project's id Specialized Adaptive Algorithms for Model Predictive Control of PDEs GR 1569/171 Specialized Adaptive Algorithms for Model Predictive Control of PDEs SCHI 1379/51 

Project financing: 
Deutsche Forschungsgemeinschaft 
Abstract in another language
We analyze the sensitivity of the extremal equations that arise when concluding first order optimality conditions for time dependent optimization problems. More specifically, we consider parabolic PDEs with a linear quadratic performance criterion. We prove the solutions boundedness with respect to the righthand side of the first order optimality condition which includes initial data. As a consequence, it can be shown that the influence of a perturbation at at certain time decays exponentially in the temporal distance to the time of perturbation. Moreover, a quantitative turnpike theorem can be derived.
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Sensitivity analysis of optimal control motivated by model predictive
control. (deposited 17 Feb 2018 22:00)
 Sensitivity analysis of optimal control motivated by model predictive control. (deposited 15 Aug 2018 06:30) [Currently Displayed]