Jump to content

Oscillating OED: Difference between revisions

From mintOC
 
Line 21: Line 21:
<math>
<math>
  \begin{array}{lll}
  \begin{array}{lll}
  \displaystyle \min_{y,G,F,z,w} && \text{trace} \; \left( F^{-1}(t_f) \right) \\
  \displaystyle \min_{x,G,F,z,w} && \text{trace} \; \left( F^{-1}(t_f) \right) \\
  \text{subject to} \\
  \text{subject to} \\
\quad \dot{y}(t) & = & f(t, p) \\
\quad \dot{x}(t) & = & f(t, p) \\
\quad \dot{G}(t) & = & f_p(y(t),p) \\
\quad \dot{G}(t) & = & f_p(x(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_x(x(t))G(t))^T(h_x(x(t))G(t)) \\
\quad \dot{z}(t) & = & w(t), \\
\quad \dot{z}(t) & = & w(t), \\
\quad y(0) & = & y_0 \\
\quad x(0) & = & x_0 \\
\quad G(0) & = & 0 \\
\quad G(0) & = & 0 \\
\quad F(0) & = & 0, \\  
\quad F(0) & = & 0, \\  

Latest revision as of 08:24, 27 January 2026

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 we can directly measure the single state.

The optimal integer control functions shows bang bang behavior.

Mathematical formulation

For a single parameter p the original initial value problem is given by x˙(t)=f(t,p)=0.2+0.8t+0.3(sin(pt)+cos(pt)pt)2.5sin(50t),x(0)=x0.

We assume both x0 and tf to be fixed and are only interested in when to measure, with an upper bound M on the measuring time. We can measure the state directly, i.e. h(x(t))=x(t).

Now we formulate the OED problem:

minx,G,F,z,wtrace(F1(tf))subject tox˙(t)=f(t,p)G˙(t)=fp(x(t),p)F˙(t)=w(t)(hx(x(t))G(t))T(hx(x(t))G(t))z˙(t)=w(t),x(0)=x0G(0)=0F(0)=0,z(0)=0w(t)𝒲z(tf)M

Parameters

These fixed values are used within the model:

Symbol Value Description
x0 0.1 Initial value for x
p 15 Unknown parameter
tf 2 Horizon of the control problem
𝒲 [0,1] Bounds of measurement function
M 0.2 Maximum measurement time

Reference Solutions

Here is one local solution to the above control problem.

Miscellaneous and Further Reading

This problem was introduced by Sebastian Sager.