I want to use systune to tune gains for my Simulink model, using the slTuner interface. I am trying to set up a non-smooth, multi-objective optimization problem that can be solved by systune. However, I am having a difficult time figuring out how to set up two of the hard constraints.
The optimization problem is stated as follows:
minimize
subject to <
<
>
> 0.3

I think I have the soft constraints and first two hard constraints correctly implemented now, using TuningGoal.Variance. However, I have no idea how to properly set up the last two hard constraints. These are the dynamic margin (generalized delay margin) at and the multivarible module margin of . Where is the complementary sensitivity function and is the sensitivity function.
mdl = "TestVehicleModel";
open_system(mdl);

st0 = slTuner(mdl,"TuneGain");

Softreq1 = TuningGoal.Variance("u1","y1",1);
Softreq2 = TuningGoal.Variance("u2","y1",1);
Softreq3 = TuningGoal.Variance("u1","y2",1);
Softreq4 = TuningGoal.Variance("u2","y2",1);
Hardreq1 = TuningGoal.Variance("u1","y3",0.5);
Hardreq2 = TuningGoal.Variance("u2","y3",0.5);

[st, fSoft, gHard] = systune(st0,[Softreq1,Softreq2,Softreq3,Softreq4],[Hardreq1,Hardreq2]);

Can anyone help me with this? I know that it should be possible, as some researches have done it before in previous versions of MATLAB, probably 2018a.I want to use systune to tune gains for my Simulink model, using the slTuner interface. I am trying to set up a non-smooth, multi-objective optimization problem that can be solved by systune. However, I am having a difficult time figuring out how to set up two of the hard constraints.
The optimization problem is stated as follows:
minimize
subject to <
<
>
> 0.3

I think I have the soft constraints and first two hard constraints correctly implemented now, using TuningGoal.Variance. However, I have no idea how to properly set up the last two hard constraints. These are the dynamic margin (generalized delay margin) at and the multivarible module margin of . Where is the complementary sensitivity function and is the sensitivity function.
mdl = "TestVehicleModel";
open_system(mdl);

st0 = slTuner(mdl,"TuneGain");

Softreq1 = TuningGoal.Variance("u1","y1",1);
Softreq2 = TuningGoal.Variance("u2","y1",1);
Softreq3 = TuningGoal.Variance("u1","y2",1);
Softreq4 = TuningGoal.Variance("u2","y2",1);
Hardreq1 = TuningGoal.Variance("u1","y3",0.5);
Hardreq2 = TuningGoal.Variance("u2","y3",0.5);

[st, fSoft, gHard] = systune(st0,[Softreq1,Softreq2,Softreq3,Softreq4],[Hardreq1,Hardreq2]);

Can anyone help me with this? I know that it should be possible, as some researches have done it before in previous versions of MATLAB, probably 2018a. I want to use systune to tune gains for my Simulink model, using the slTuner interface. I am trying to set up a non-smooth, multi-objective optimization problem that can be solved by systune. However, I am having a difficult time figuring out how to set up two of the hard constraints.
The optimization problem is stated as follows:
minimize
subject to <
<
>
> 0.3

I think I have the soft constraints and first two hard constraints correctly implemented now, using TuningGoal.Variance. However, I have no idea how to properly set up the last two hard constraints. These are the dynamic margin (generalized delay margin) at and the multivarible module margin of . Where is the complementary sensitivity function and is the sensitivity function.
mdl = "TestVehicleModel";
open_system(mdl);

st0 = slTuner(mdl,"TuneGain");

Softreq1 = TuningGoal.Variance("u1","y1",1);
Softreq2 = TuningGoal.Variance("u2","y1",1);
Softreq3 = TuningGoal.Variance("u1","y2",1);
Softreq4 = TuningGoal.Variance("u2","y2",1);
Hardreq1 = TuningGoal.Variance("u1","y3",0.5);
Hardreq2 = TuningGoal.Variance("u2","y3",0.5);

[st, fSoft, gHard] = systune(st0,[Softreq1,Softreq2,Softreq3,Softreq4],[Hardreq1,Hardreq2]);

Can anyone help me with this? I know that it should be possible, as some researches have done it before in previous versions of MATLAB, probably 2018a. sltuner, optimization, non-smooth, multi-objective, systune, tuninggoal, simulink, matlab, hinfinity, margin MATLAB Answers — New Questions

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