Clean up Java style (#5990)

Also make equivalent changes in C++ where applicable.

Co-authored-by: Sriman Achanta <68172138+srimanachanta@users.noreply.github.com>
This commit is contained in:
Tyler Veness
2023-12-03 16:21:32 -08:00
committed by GitHub
parent 66172ab288
commit 2bb1409b82
113 changed files with 426 additions and 617 deletions

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@@ -16,9 +16,8 @@ import java.util.function.Function;
* Constructs a control-affine plant inversion model-based feedforward from given model dynamics.
*
* <p>If given the vector valued function as f(x, u) where x is the state vector and u is the input
* vector, the B matrix(continuous input matrix) is calculated through a {@link
* edu.wpi.first.math.system.NumericalJacobian}. In this case f has to be control-affine (of the
* form f(x) + Bu).
* vector, the B matrix(continuous input matrix) is calculated through a {@link NumericalJacobian}.
* In this case f has to be control-affine (of the form f(x) + Bu).
*
* <p>The feedforward is calculated as <strong> u_ff = B<sup>+</sup> (rDot - f(x))</strong>, where
* <strong> B<sup>+</sup> </strong> is the pseudoinverse of B.
@@ -26,8 +25,8 @@ import java.util.function.Function;
* <p>This feedforward does not account for a dynamic B matrix, B is either determined or supplied
* when the feedforward is created and remains constant.
*
* <p>For more on the underlying math, read
* https://file.tavsys.net/control/controls-engineering-in-frc.pdf.
* <p>For more on the underlying math, read <a
* href="https://file.tavsys.net/control/controls-engineering-in-frc.pdf">https://file.tavsys.net/control/controls-engineering-in-frc.pdf</a>.
*/
public class ControlAffinePlantInversionFeedforward<States extends Num, Inputs extends Num> {
/** The current reference state. */

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@@ -17,8 +17,8 @@ import org.ejml.simple.SimpleMatrix;
* system and makes it behave like some other system. This can be used to make a drivetrain more
* controllable during teleop driving by making it behave like a slower or more benign drivetrain.
*
* <p>For more on the underlying math, read appendix B.3 in
* https://file.tavsys.net/control/controls-engineering-in-frc.pdf.
* <p>For more on the underlying math, read appendix B.3 in <a
* href="https://file.tavsys.net/control/controls-engineering-in-frc.pdf">https://file.tavsys.net/control/controls-engineering-in-frc.pdf</a>.
*/
public class ImplicitModelFollower<States extends Num, Inputs extends Num, Outputs extends Num> {
// Computed controller output

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@@ -65,8 +65,8 @@ public class LTVDifferentialDriveController {
/**
* Constructs a linear time-varying differential drive controller.
*
* <p>See
* https://docs.wpilib.org/en/stable/docs/software/advanced-controls/state-space/state-space-intro.html#lqr-tuning
* <p>See <a
* href="https://docs.wpilib.org/en/stable/docs/software/advanced-controls/state-space/state-space-intro.html#lqr-tuning">https://docs.wpilib.org/en/stable/docs/software/advanced-controls/state-space/state-space-intro.html#lqr-tuning</a>
* for how to select the tolerances.
*
* @param plant The differential drive velocity plant.

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@@ -80,8 +80,8 @@ public class LTVUnicycleController {
/**
* Constructs a linear time-varying unicycle controller.
*
* <p>See
* https://docs.wpilib.org/en/stable/docs/software/advanced-controls/state-space/state-space-intro.html#lqr-tuning
* <p>See <a
* href="https://docs.wpilib.org/en/stable/docs/software/advanced-controls/state-space/state-space-intro.html#lqr-tuning">https://docs.wpilib.org/en/stable/docs/software/advanced-controls/state-space/state-space-intro.html#lqr-tuning</a>
* for how to select the tolerances.
*
* @param qelems The maximum desired error tolerance for each state.
@@ -95,8 +95,8 @@ public class LTVUnicycleController {
/**
* Constructs a linear time-varying unicycle controller.
*
* <p>See
* https://docs.wpilib.org/en/stable/docs/software/advanced-controls/state-space/state-space-intro.html#lqr-tuning
* <p>See <a
* href="https://docs.wpilib.org/en/stable/docs/software/advanced-controls/state-space/state-space-intro.html#lqr-tuning">https://docs.wpilib.org/en/stable/docs/software/advanced-controls/state-space/state-space-intro.html#lqr-tuning</a>
* for how to select the tolerances.
*
* @param qelems The maximum desired error tolerance for each state.

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@@ -17,8 +17,8 @@ import org.ejml.simple.SimpleMatrix;
* <p>The feedforward is calculated as <strong> u_ff = B<sup>+</sup> (r_k+1 - A r_k) </strong>,
* where <strong> B<sup>+</sup> </strong> is the pseudoinverse of B.
*
* <p>For more on the underlying math, read
* https://file.tavsys.net/control/controls-engineering-in-frc.pdf.
* <p>For more on the underlying math, read <a
* href="https://file.tavsys.net/control/controls-engineering-in-frc.pdf">https://file.tavsys.net/control/controls-engineering-in-frc.pdf</a>.
*/
public class LinearPlantInversionFeedforward<
States extends Num, Inputs extends Num, Outputs extends Num> {

View File

@@ -19,8 +19,8 @@ import org.ejml.simple.SimpleMatrix;
* Contains the controller coefficients and logic for a linear-quadratic regulator (LQR). LQRs use
* the control law u = K(r - x).
*
* <p>For more on the underlying math, read
* https://file.tavsys.net/control/controls-engineering-in-frc.pdf.
* <p>For more on the underlying math, read <a
* href="https://file.tavsys.net/control/controls-engineering-in-frc.pdf">https://file.tavsys.net/control/controls-engineering-in-frc.pdf</a>.
*/
public class LinearQuadraticRegulator<States extends Num, Inputs extends Num, Outputs extends Num> {
/** The current reference state. */
@@ -35,8 +35,8 @@ public class LinearQuadraticRegulator<States extends Num, Inputs extends Num, Ou
/**
* Constructs a controller with the given coefficients and plant. Rho is defaulted to 1.
*
* <p>See
* https://docs.wpilib.org/en/stable/docs/software/advanced-controls/state-space/state-space-intro.html#lqr-tuning
* <p>See <a
* href="https://docs.wpilib.org/en/stable/docs/software/advanced-controls/state-space/state-space-intro.html#lqr-tuning">https://docs.wpilib.org/en/stable/docs/software/advanced-controls/state-space/state-space-intro.html#lqr-tuning</a>
* for how to select the tolerances.
*
* @param plant The plant being controlled.
@@ -61,8 +61,8 @@ public class LinearQuadraticRegulator<States extends Num, Inputs extends Num, Ou
/**
* Constructs a controller with the given coefficients and plant.
*
* <p>See
* https://docs.wpilib.org/en/stable/docs/software/advanced-controls/state-space/state-space-intro.html#lqr-tuning
* <p>See <a
* href="https://docs.wpilib.org/en/stable/docs/software/advanced-controls/state-space/state-space-intro.html#lqr-tuning">https://docs.wpilib.org/en/stable/docs/software/advanced-controls/state-space/state-space-intro.html#lqr-tuning</a>
* for how to select the tolerances.
*
* @param A Continuous system matrix of the plant being controlled.
@@ -107,14 +107,12 @@ public class LinearQuadraticRegulator<States extends Num, Inputs extends Num, Ou
var discB = discABPair.getSecond();
if (!StateSpaceUtil.isStabilizable(discA, discB)) {
var builder = new StringBuilder("The system passed to the LQR is uncontrollable!\n\nA =\n");
builder
.append(discA.getStorage().toString())
.append("\nB =\n")
.append(discB.getStorage().toString())
.append('\n');
var msg = builder.toString();
var msg =
"The system passed to the LQR is uncontrollable!\n\nA =\n"
+ discA.getStorage().toString()
+ "\nB =\n"
+ discB.getStorage().toString()
+ '\n';
MathSharedStore.reportError(msg, Thread.currentThread().getStackTrace());
throw new IllegalArgumentException(msg);
}
@@ -258,8 +256,9 @@ public class LinearQuadraticRegulator<States extends Num, Inputs extends Num, Ou
* are time-delayed too long, the LQR may be unstable. However, if we know the amount of delay, we
* can compute the control based on where the system will be after the time delay.
*
* <p>See https://file.tavsys.net/control/controls-engineering-in-frc.pdf appendix C.4 for a
* derivation.
* <p>See <a
* href="https://file.tavsys.net/control/controls-engineering-in-frc.pdf">https://file.tavsys.net/control/controls-engineering-in-frc.pdf</a>
* appendix C.4 for a derivation.
*
* @param plant The plant being controlled.
* @param dtSeconds Discretization timestep in seconds.