Dual Control and Information Gain in Controlling Uncertain Processes**This paper was not presented at any IFAC meeting. Corresponding author H. C. La. This work was supported by the German Research Foundation (DFG) within the Heidelberg Graduate School for Mathematical and Computational Methods for the Sciences. Support by the EU through S. Engell’s and H.G. Bock’s ERC Advanced Investigator Grant MOBOCON (291 458) is gratefully acknowledged.-Reference-Cited by-同舟云学术

Dual Control and Information Gain in Controlling Uncertain Processes**This paper was not presented at any IFAC meeting. Corresponding author H. C. La. This work was supported by the German Research Foundation (DFG) within the Heidelberg Graduate School for Mathematical and Computational Methods for the Sciences. Support by the EU through S. Engell’s and H.G. Bock’s ERC Advanced Investigator Grant MOBOCON (291 458) is gratefully acknowledged.

Published:2016 Issue:7 Volume:49 Page:139-144
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

La H.C.,Potschka A.,Schlöder J.P.,Bock H.G.

Publisher

Elsevier BV

Subject

Control and Systems Engineering

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2. Albersmeyer, J. and Bock, H.G. (2006). Sensitivity generation in an adaptive BDF-method. In Modeling, Simulation and Optimization of Complex Processes: Proceedings of the International Conference on High Performance Scientific Computing, March 6-10, 2006, Hanoi, Vietnam .

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4. Caution, probing, and the value of information in the control of uncertain systems;Bar-Shalom;Annals of Economic and Social Measurement,1976

5. Bertsekas, D.P. (1995). Dynamic Programming and Optimal Control. Athena Scientific, Belmont, Massachusetts.

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