Title: Removed epsilon perturbation value in solve_passivity_LMI. Fix associated unit test. by Mark-Yeatman · Pull Request #814 · python-control/python-control · GitHub
Open Graph Title: Removed epsilon perturbation value in solve_passivity_LMI. Fix associated unit test. by Mark-Yeatman · Pull Request #814 · python-control/python-control
X Title: Removed epsilon perturbation value in solve_passivity_LMI. Fix associated unit test. by Mark-Yeatman · Pull Request #814 · python-control/python-control
Description: This should hopefully address #761 There was a unit test that was supposed to "hint at" how much you could scale matrices and expect to still correct results. It was marked as xfail after it was flakey on githubs integration pipeline. Hopefully this change removes the flakeyness. This change also pushes more responsibility on the user for knowing if their system is "well conditioned". I suspect the root cause of the flakeyness is that CVXOPT does matrix inversions while solving the passivity LMI, and the algorithm would divide by zero if the condition numbers of the system matrices were too high. So, I added a exception handling case to catch the zero division during the cvxopt solve, said we think its because the matrices are ill conditioned, and then reraised the exception. I then empirically bumped down the relative scaling on the unit test until it started passing on my local system.
Open Graph Description: This should hopefully address #761 There was a unit test that was supposed to "hint at" how much you could scale matrices and expect to still correct results. It was marked as xfail after...
X Description: This should hopefully address #761 There was a unit test that was supposed to "hint at" how much you could scale matrices and expect to still correct results. It was marked as xfa...
Opengraph URL: https://github.com/python-control/python-control/pull/814
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