Oscillating OED: Difference between revisions
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For a single parameter <math>p</math> the original initial value problem is given by | For a single parameter <math>p</math> the original initial value problem is given by | ||
<math> | <math> | ||
\dot{x}(t) =: f(t) = 0.2 + 0.8 \cdot t + 0.3 \cdot (\sin(p \cdot t) + \cos(p \cdot t) \cdot p \cdot t) - 2.5 \cdot \sin(50 \cdot t), \quad x(0) = x_0. | \dot{x}(t) =: f(t, p) = 0.2 + 0.8 \cdot t + 0.3 \cdot (\sin(p \cdot t) + \cos(p \cdot t) \cdot p \cdot t) - 2.5 \cdot \sin(50 \cdot t), \quad x(0) = x_0. | ||
</math> | </math> | ||
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\displaystyle \min_{y,G,F,z,w} && \text{trace} \; \left( F^{-1}(t_f) \right) \\ | \displaystyle \min_{y,G,F,z,w} && \text{trace} \; \left( F^{-1}(t_f) \right) \\ | ||
\text{subject to} \\ | \text{subject to} \\ | ||
\quad \dot{y}(t) & = & f | \quad \dot{y}(t) & = & f(t, p) \\ | ||
\quad \dot{G}(t) & = & | \quad \dot{G}(t) & = & f_p(y(t),p) \\ | ||
\quad \dot{F}(t) & = & w(t)(h_y(y(t))G(t))^T(h_y(y(t))G(t)) \\ | \quad \dot{F}(t) & = & w(t)(h_y(y(t))G(t))^T(h_y(y(t))G(t)) \\ | ||
\quad \dot{z}(t) & = & w(t), \\ | \quad \dot{z}(t) & = & w(t), \\ | ||
Revision as of 06:15, 26 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 . The time was added as an additional state.
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.