Difference between revisions of "D'Onofrio model (binary variant)"

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The parameters and scenarios are as in [[D'Onofrio_chemotherapy_model]], the new fixed parameters are
 
The parameters and scenarios are as in [[D'Onofrio_chemotherapy_model]], the new fixed parameters are
  
<math>(c_{0,1},c_{0,2},c_{0,3},c_{0,4})=(u_0^{max},u_0^{max},0,0) \\
+
<math>(c_{0,1},c_{0,2},c_{0,3},c_{0,4})=(u_0^{max},u_0^{max},0,0),
 
(c_{1,1},c_{1,2},c_{1,3},c_{1,4})=(0,u_0^{max},u_0^{max},0).
 
(c_{1,1},c_{1,2},c_{1,3},c_{1,4})=(0,u_0^{max},u_0^{max},0).
 
</math>
 
</math>

Revision as of 15:25, 11 January 2018

D'Onofrio model (binary variant)
State dimension: 1
Differential states: 4
Discrete control functions: 4
Path constraints: 2

This site describes a D'Onofrio model variant with four binary controls instead which of only two continuous controls. The continuous controls are replaced via the outer convexifacation method.

Mathematical formulation

For t \in [t_0, t_f] the optimal control problem is given by


\begin{array}{llcl}
 \displaystyle \min_{x, u} & x_0(t_f) &+& \alpha \int_{t_0}^{t_f} u_0(t)^2 \text{d}t   \\[1.5ex]
 \mbox{s.t.} & \dot{x}_0 & = & - \zeta x_0 \text{ln} \left( \frac{x_0}{x_1} \right) - \sum\limits_{i=1}^{4} w_i\;c_{1,i}\; F \; x_0 , \\
             & \dot{x}_1 & = & b x_0 - \mu x_1 - d x_0^{\frac{2}{3}}x_1 -\sum\limits_{i=1}^{4} w_i c_{0,i} \; G x_1 - \sum\limits_{i=1}^{4} w_i\;c_{1,i} \; \eta x_1,  \\
             & \dot{x}_2 & = & \sum\limits_{i=1}^{4} w_i\;c_{0,i},  \\
             & \dot{x}_3 & = & \sum\limits_{i=1}^{4} w_i\;c_{1,i}, \\ [1.5ex]
             & x_2 & \leq & x_2^{max},  \\
             & x_3 & \leq & x_3^{max},\\
& 1 &=& \sum\limits_{i=1}^{4}w_i(t), \\
 & w_i(t) &\in&  \{0, 1\}, \quad i=1\ldots 4.
\end{array}


Parameters

The parameters and scenarios are as in D'Onofrio_chemotherapy_model, the new fixed parameters are

(c_{0,1},c_{0,2},c_{0,3},c_{0,4})=(u_0^{max},u_0^{max},0,0),
(c_{1,1},c_{1,2},c_{1,3},c_{1,4})=(0,u_0^{max},u_0^{max},0).

Reference Solutions

If the problem is relaxed, i.e., we demand that w(t) be in the continuous interval [0, 1] instead of the binary choice \{0,1\}, the optimal solution can be determined by means of direct optimal control.

The optimal objective value of the relaxed problem with  n_t=6000, \, n_u=60  is 1.30167235. The objective value of the binary controls obtained by Combinatorial Integral Approimation (CIA) is 1.30273681.


Source Code

Model description is available in