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LV Competitive: Difference between revisions

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<math>
<math>
\begin{array}{llclr}
\begin{array}{llclr}
  \displaystyle \min_{u} & \int_0^{t_f} && (x_0(t) - 1)^2 + (x_1(t) - 1)^2 + (x_2(t) - 1)^2 \ dt \\[1.5ex]
  \displaystyle \min_{u} & \int_0^{t_f} && (x_0(t) - 1)^2 + (x_1(t) - 1)^2 \ dt \\[1.5ex]
  \mbox{s.t.}  
  \mbox{s.t.}  
  & \dot{x}_0(t) & = &  x_0(t) \left(1 - \frac{x_0(t) + \alpha x_1(t)}{K} \right) - c_1 x_0(t) u(t), \\
  & \dot{x}_0(t) & = &  x_0(t) \left(1 - \frac{x_0(t) + \alpha x_1(t)}{K} \right) - c_1 x_0(t) u(t), \\

Revision as of 09:49, 29 January 2026

LV Competitive
State dimension: 1
Differential states: 2
Discrete control functions: 1


This Competitive Lotka Volterra problem is a variant of the Lotka Volterra fishing problem. Its dynamics are given via a two-dimensional ODE model.

Mathematical formulation

The optimal control problem is given by

minu0tf(x0(t)1)2+(x1(t)1)2 dts.t.x˙0(t)=x0(t)(1x0(t)+αx1(t)K)c1x0(t)u(t),x˙1(t)=x1(t)+(1x0(t)+x1(t)K)c2x1(t)u(t),x(0)=x0,u(t)[0,1],α>1.

Parameters

These fixed values are used within the model.

[t0,tf]=[0,20],(c1,c2)=(0.1,0.4),x0=(0.5,1.5) or (1.5,0.5),α=1.2K=1.8.

Reference Solutions