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GeezerVison is showing github.com — Update benchmarks to help with optimal control tuning by murrayrm · Pull Request #800 · python-control/python-control

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@murrayrm

@murrayrm murrayrm commented Nov 26, 2022

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This PR updates the benchmarks to allow for more useful characterization and tuning of the optimal module. The main change is to switch from using the kinematic car (vehicle) example as the basis for benchmarking to using a simpler linear system. The kinematic car was problematic because it is a marginally stable system and so the shooting method using for the optimal control computations was not numerically stable, causing lots of failures.

Almost all of the changes here are in the benchmarks/ directory, with a few small changes in the main code to fix some small issues identified along the way.

Once this PR and #799 are merged, I'll add some benchmarks comparing the shooting method to collocation.

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murrayrm added 5 commits November 19, 2022 08:04
@murrayrm
move optimal_bench.py to steering_bench.py + small fixes
e14d7b3
@murrayrm
improved flat system benchmarking (+ docstring, unit test updates)
08f6464
@murrayrm
new optimal benchmarks (replace steering with rss)
efca9ca
@murrayrm
add error for using solve_ivp for discrete time + formatting tweaks
2860d89
@murrayrm
allow print_summary to be set in solve_ocp
54de2a3
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coveralls commented Nov 26, 2022

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Coverage Status

Coverage increased (+0.002%) to 94.842% when pulling 54de2a3 on murrayrm:benchmarks-24Aug2022 into 832527d on python-control:main.

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@murrayrm
murrayrm merged commit 4d89991 into python-control:main Nov 26, 2022
@murrayrm murrayrm added this to the 0.9.3 milestone Dec 24, 2022
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