plotting the objective function

[nilkiweera]

Hi Johan,

Hope you are well,

I have a small question regarding plotting the objective function.

I have a linear objective function comprised of four decision variables, the objective is to minimize the error between a setpoint (Q_max_power) and manipulated variables (u{k})
objective = objective + norm(R1*(u{k}(2) - Q_max_power{k}(1)),1) ...

  + norm(R4*(u{k}(8) - Q_max_power{k}(4)),1) + norm(R2*(u{k}(4) - Q_max_power{k}(2)),1) ...

  + norm(R3*(u{k}(6) - Q_max_power{k}(3)),1);

I want to plot the objective function with respect to all the variables and see how it evolves, this is solved through gurobi. Thank you so much,
Nilki

[johanlofberg]

all variables? more than two will make it tricky...

general plotting of expressions is not possible, but if you mean you have an optimizer object and you want to plot the optimal objective w.r.t 2d-parameters, there are example here https://yalmip.github.io/optimizerupdates

[nilkiweera]

Hi Johan,
thank you very much i will look into that :)
regards,
Nilki