Oscillating OED: Difference between revisions
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We assume both <math>x_0</math> and <math>t_f</math> to be fixed and are only interested in when to measure, with an upper bound <math>M</math> on the measuring time. We can measure the state directly, i.e. <math>h(x(t)) = x(t)</math>. | We assume both <math>x_0</math> and <math>t_f</math> to be fixed and are only interested in when to measure, with an upper bound <math>M</math> on the measuring time. We can measure the state directly, i.e. <math>h(x(t)) = x(t)</math>. | ||
Now we formulate the OED problem | Now we formulate the OED problem: | ||
<p> | <p> | ||
<math> | <math> | ||
Revision as of 14:28, 25 August 2025
| Oscillating OED | |
|---|---|
| State dimension: | 1 |
| Differential states: | 4 |
| Discrete control functions: | 1 |
The Oscillating OED problem looks for an optimal measurement strategy to determine a single parameter in a one-dimensional ODE model, where can directly measure the single state.
The optimal integer control functions shows bang bang behavior.
Mathematical formulation
For a single parameter the original initial value problem is given by
We assume both and to be fixed and are only interested in when to measure, with an upper bound on the measuring time. We can measure the state directly, i.e. .
Now we formulate the OED problem:
Parameters
These fixed values are used within the model:
Reference Solutions
Here is one local solution to the above control problem.
- Reference solution plots
-
States and measurement control for .
Miscellaneous and Further Reading
The Toy OED problem was introduced by Sebastian Sager in [Sager2013]Author: Sager, S.
Journal: SIAM Journal on Control and Optimization
Number: 4
Pages: 3181--3207
Title: Sampling Decisions in Optimum Experimental Design in the Light of Pontryagin's Maximum Principle
Url: http://mathopt.de/PUBLICATIONS/Sager2013.pdf
Volume: 51
Year: 2013
, which contains further details.
References
There were no citations found in the article.