When trying to set the tolerance of a ProfiledPID, it fails if you don't give it a velocity value. It was missing a conversion from double to the appropiate unit.
It would crash in C++ if the global measurement was sooner than all the
snapshots.
Align Java with the changes and better document computation approach.
It was using the continuous B matrix to compute the feedback gain
instead of the discrete B matrix.
Tests were added for the matrix constructor overloads.
These classes are useful for storing previous robot positions to use in conjunction with the upcoming pose estimators.
Co-authored-by: Prateek Machiraju <prateek.machiraju@gmail.com>
Co-authored-by: Tyler Veness <calcmogul@gmail.com>
Co-authored-by: cttew <cttewari@gmail.com>
This avoids stack-use-after-scope bugs in code like the following when
the original argument goes out of scope:
```cpp
frc2::Command* RobotContainer::GetAutonomousCommand() {
// Create a voltage constraint to ensure we don't accelerate too fast
frc::DifferentialDriveVoltageConstraint autoVoltageConstraint(
frc::SimpleMotorFeedforward<units::meters>(
DriveConstants::ks, DriveConstants::kv, DriveConstants::ka),
DriveConstants::kDriveKinematics, 10_V);
```
This also makes the Gradle build work with JDK 17.
The extra JVM args in gradle.properties works around a bug with spotless
and JDK 17: https://github.com/diffplug/spotless/issues/834
PMD.CloseResource was ignored because it's almost always a false
positive, and there are many of them.
The template argument order for UnscentedTransform was reversed to match
all the other UKF classes. Since UnscentedTransform is intended as a
class for internal use only, this shouldn't cause much breakage.
* Replace Matrix<> with Vector<> where vectors are explicitly intended.
I found these via `rg "Eigen::Matrix<double, \w+, 1>"`.
* Pass all Eigen matrices by const reference. I found these via `rg
"\(Eigen"` on main (the initializer list constructors make more false
positives).
* Replace MakeMatrix() and operator<< usage with initializer list
constructors. I found these via `rg MakeMatrix` and `rg "<<"`
respectively.
* Deprecate MakeMatrix()
Internal headers are no longer allowed as of
https://gitlab.com/libeigen/eigen/-/merge_requests/631. Based on
benchmarking I conducted in that thread, there doesn't seem to be a
performance penalty for including the full headers anymore.
This is an alternative to #2344 that handles arbitrary order derivatives
of arbitrary precision. The downside is that since it's part of
LinearFilter, it can't utilize the units type system in the same way to
make Calculate()'s input type different from its output type.
* Rename Butcher tableau sections in NumericalIntegration such that
top-left is c, top-right is A, and bottom-right is b
* Move edu.wpi.first.math.Discretization to
edu.wpi.first.math.system.Discretization
* Sort Java Discretization to match C++ function order
* Add tests for Java Discretization
* Required adding Runge-Kutta time-varying impl to tests
* Move C++ Runge-Kutta time-varying impl to tests only
* Users don't need it
Our patches for the DARE and [[noreturn]] attributes were merged
upstream. We missed their monthly release window by a day, so we'll use
a commit hash for now.
Also refactored RKF45 implementation to match the new style, which is
easier to read.
The tests were switched from RKF45 to RKDP since it's more accurate.
