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>
I started with the output of styleguide#217, then renamed a few classes
to fix compilation.
ntcore's StorageTest needed some manual renaming since it put the Test
word in the middle instead of at the end.
One limitation of wpiformat is test cases that were only named "Test"
were unmodified, and an error was generated. These test cases were
manually given more descriptive names:
* TimedRobotTest mode test cases had "Mode" appended to the name. Java
tests were renamed to match.
* UvAsyncTest and UvAsyncFunctionTest cases were given alternate names
Inconsistent names were found using the following regular expressions.
* `rg "TEST(_F|_P)?\(\w+,\s+\w+Test\)"`
* `rg "TEST(_F|_P)?\(\w+,\s+Test\w+\)"`
* `rg "TEST(_F|_P)?\(\w+Tests,\s+\w+\)"`
Fixes#3495.
* 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()
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.
The implementation of wpi::circular_buffer has been effectively replaced
with a dynamically sized copy of wpi::static_circular_buffer with a
resize() member function.
This version incorporated the patch we were manually applying, so we're
synced back up with upstream now except for some minor #include changes
to reduce header bloat.
The wpimath APIs use std::array, which doesn't do size checking. Passing
an array with the wrong size can result in uninitialized elements
instead of a compilation error.
This is a breaking change but is worthwhile to avoid hard-to-debug errors.
frc::NormalizeAngle(), units::math::NormalizeAngle(), and
frc::GetModulusError() were replaced with frc::InputModulus() and
frc::AngleModulus().
They were placed in wpimath/src/main/native/include/frc/MathUtil.h for
C++ and wpimath/src/main/java/edu/wpi/first/wpiutil/math/MathUtil.java
for Java.
Pose and state estimators can filter latency-compensated global measurements and fuse them with state-space drivetrain model information to estimate robot position. They are drop-in replacements for the existing odometry classes.
Co-authored-by: Declan Freeman-Gleason <declanfreemangleason@gmail.com>
Co-authored-by: Prateek Machiraju <prateek.machiraju@gmail.com>
Co-authored-by: Claudius Tewari <cttewari@gmail.com>
Co-authored-by: Matt <matthew.morley.ca@gmail.com>
There were three options for where to put this function:
1. A free function in LinearQuadraticRegulator.h. Returning a K matrix
means the user can't use the LinearQuadraticRegulator in a loop
anymore.
2. A default argument added to ctors in LinearQuadraticRegulator for a
time delay (default of 0). This has the smallest API footprint from
the user perspective, but it bloats the already substantial
constructor overload set of LinearQuadraticRegulator.
3. A member function in LinearQuadraticRegulator that modifies the
internal K. This would still have to take in a LinearSystem or (A, B)
pair because the ctor doesn't store it. Storing it internally feels
like paying for what we don't use most of the time.
I went with option 3.
I verified the tests's expected values in Python with
scipy.linalg.fractional_matrix_power().
Closes#2877.
