Tyler Veness 95ae23b0e7 [wpimath] Improve EKF numerical stability (#4093) ...

The Joseph form of the error covariance update equation is more
numerically stable when the Kalman gain isn't optimal. Numerical
instability and filter divergence can occur if the user goes long time
periods between updates and the error covariance becomes ill-conditioned
(the ratio between the largest and smallest eigenvalue gets too large).

2022-03-19 20:41:28 -07:00

..

src

[wpimath] Improve EKF numerical stability (#4093)

2022-03-19 20:41:28 -07:00

.styleguide

[wpimath] Suppress the -Wmaybe-uninitialized warning in Eigen (#3378)

2021-05-25 10:05:41 -07:00

build.gradle

Upgrade maven deps to latest versions and fix new linter errors (#3772)

2021-12-09 12:20:08 -08:00

CMakeLists.txt

[wpimath] Upgrade to EJML 0.41 (#3726)

2021-11-20 01:02:37 -08:00

generate_numbers.py

[wpimath] Use jinja for codegen (#3574)

2021-09-17 00:10:29 -07:00

wpimath-config.cmake.in

[build] Fix cmake-config files (#2865)

2020-11-15 22:38:55 -08:00