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[wpimath] Remove discretizeAQTaylor() (#5562)
It gives incorrect results. Any replacement should just be an implementation detail of discretizeAQ(). Closes #5339.
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@@ -114,102 +114,6 @@ TEST(DiscretizationTest, DiscretizeFastModelAQ) {
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<< discQIntegrated;
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}
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// Test that the Taylor series discretization produces nearly identical results.
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TEST(DiscretizationTest, DiscretizeSlowModelAQTaylor) {
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frc::Matrixd<2, 2> contA{{0, 1}, {0, 0}};
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frc::Matrixd<2, 2> contQ{{1, 0}, {0, 1}};
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constexpr auto dt = 1_s;
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frc::Matrixd<2, 2> discQTaylor;
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frc::Matrixd<2, 2> discA;
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frc::Matrixd<2, 2> discATaylor;
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// Continuous Q should be positive semidefinite
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Eigen::SelfAdjointEigenSolver<Eigen::MatrixXd> esCont{contQ,
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Eigen::EigenvaluesOnly};
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for (int i = 0; i < contQ.rows(); ++i) {
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EXPECT_GE(esCont.eigenvalues()[i], 0);
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}
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// T
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// Q_d = ∫ e^(Aτ) Q e^(Aᵀτ) dτ
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// 0
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frc::Matrixd<2, 2> discQIntegrated = frc::RungeKuttaTimeVarying<
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std::function<frc::Matrixd<2, 2>(units::second_t,
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const frc::Matrixd<2, 2>&)>,
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frc::Matrixd<2, 2>>(
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[&](units::second_t t, const frc::Matrixd<2, 2>&) {
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return frc::Matrixd<2, 2>((contA * t.value()).exp() * contQ *
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(contA.transpose() * t.value()).exp());
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},
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0_s, frc::Matrixd<2, 2>::Zero(), dt);
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frc::DiscretizeA<2>(contA, dt, &discA);
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frc::DiscretizeAQTaylor<2>(contA, contQ, dt, &discATaylor, &discQTaylor);
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EXPECT_LT((discQIntegrated - discQTaylor).norm(), 1e-10)
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<< "Expected these to be nearly equal:\ndiscQTaylor:\n"
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<< discQTaylor << "\ndiscQIntegrated:\n"
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<< discQIntegrated;
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EXPECT_LT((discA - discATaylor).norm(), 1e-10);
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// Discrete Q should be positive semidefinite
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Eigen::SelfAdjointEigenSolver<Eigen::MatrixXd> esDisc{discQTaylor,
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Eigen::EigenvaluesOnly};
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for (int i = 0; i < discQTaylor.rows(); ++i) {
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EXPECT_GE(esDisc.eigenvalues()[i], 0);
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}
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}
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// Test that the Taylor series discretization produces nearly identical results.
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TEST(DiscretizationTest, DiscretizeFastModelAQTaylor) {
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frc::Matrixd<2, 2> contA{{0, 1}, {0, -1500}};
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frc::Matrixd<2, 2> contQ{{0.0025, 0}, {0, 1}};
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constexpr auto dt = 5_ms;
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frc::Matrixd<2, 2> discQTaylor;
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frc::Matrixd<2, 2> discA;
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frc::Matrixd<2, 2> discATaylor;
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// Continuous Q should be positive semidefinite
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Eigen::SelfAdjointEigenSolver<Eigen::MatrixXd> esCont{contQ,
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Eigen::EigenvaluesOnly};
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for (int i = 0; i < contQ.rows(); ++i) {
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EXPECT_GE(esCont.eigenvalues()[i], 0);
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}
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// T
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// Q_d = ∫ e^(Aτ) Q e^(Aᵀτ) dτ
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// 0
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frc::Matrixd<2, 2> discQIntegrated = frc::RungeKuttaTimeVarying<
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std::function<frc::Matrixd<2, 2>(units::second_t,
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const frc::Matrixd<2, 2>&)>,
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frc::Matrixd<2, 2>>(
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[&](units::second_t t, const frc::Matrixd<2, 2>&) {
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return frc::Matrixd<2, 2>((contA * t.value()).exp() * contQ *
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(contA.transpose() * t.value()).exp());
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},
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0_s, frc::Matrixd<2, 2>::Zero(), dt);
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frc::DiscretizeA<2>(contA, dt, &discA);
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frc::DiscretizeAQTaylor<2>(contA, contQ, dt, &discATaylor, &discQTaylor);
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EXPECT_LT((discQIntegrated - discQTaylor).norm(), 1e-3)
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<< "Expected these to be nearly equal:\ndiscQTaylor:\n"
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<< discQTaylor << "\ndiscQIntegrated:\n"
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<< discQIntegrated;
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EXPECT_LT((discA - discATaylor).norm(), 1e-10);
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// Discrete Q should be positive semidefinite
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Eigen::SelfAdjointEigenSolver<Eigen::MatrixXd> esDisc{discQTaylor,
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Eigen::EigenvaluesOnly};
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for (int i = 0; i < discQTaylor.rows(); ++i) {
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EXPECT_GE(esDisc.eigenvalues()[i], 0);
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}
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}
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// Test that DiscretizeR() works
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TEST(DiscretizationTest, DiscretizeR) {
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frc::Matrixd<2, 2> contR{{2.0, 0.0}, {0.0, 1.0}};
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