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405 changes: 405 additions & 0 deletions hardening_feedback_test.go

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392 changes: 392 additions & 0 deletions hardening_gramian_test.go
Original file line number Diff line number Diff line change
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package controlsys

import (
"errors"
"math"
"testing"

"gonum.org/v1/gonum/mat"
)

func TestGram_Continuous_MATLABValidated(t *testing.T) {
sys, err := New(
mat.NewDense(2, 2, []float64{1, -2, 3, -4}),
mat.NewDense(2, 2, []float64{5, 6, 7, 8}),
mat.NewDense(2, 2, []float64{4, 5, 6, 7}),
mat.NewDense(2, 2, []float64{13, 14, 15, 16}), 0)
if err != nil {
t.Fatal(err)
}

wcRes, err := Gram(sys, GramControllability)
if err != nil {
t.Fatal(err)
}
wantWc := mat.NewDense(2, 2, []float64{18.5, 24.5, 24.5, 32.5})
assertMatNearT(t, "Wc", wcRes.X, wantWc, 1e-4)

woRes, err := Gram(sys, GramObservability)
if err != nil {
t.Fatal(err)
}
wantWo := mat.NewDense(2, 2, []float64{257.5, -94.5, -94.5, 56.5})
assertMatNearT(t, "Wo", woRes.X, wantWo, 1e-4)
}

func TestGram_Discrete_MATLABValidated(t *testing.T) {
csys, err := New(
mat.NewDense(2, 2, []float64{1, -2, 3, -4}),
mat.NewDense(2, 2, []float64{5, 6, 7, 8}),
mat.NewDense(2, 2, []float64{4, 5, 6, 7}),
mat.NewDense(2, 2, []float64{13, 14, 15, 16}), 0)
if err != nil {
t.Fatal(err)
}

dsys, err := csys.DiscretizeZOH(0.2)
if err != nil {
t.Fatal(err)
}

wcRes, err := Gram(dsys, GramControllability)
if err != nil {
t.Fatal(err)
}
woRes, err := Gram(dsys, GramObservability)
if err != nil {
t.Fatal(err)
}

for _, res := range []*GramResult{wcRes, woRes} {
if !isSymmetric(res.X, 1e-10) {
t.Error("gramian not symmetric")
}
var eig mat.Eigen
ok := eig.Factorize(res.X, mat.EigenNone)
if !ok {
t.Fatal("eigendecomposition failed")
}
vals := eig.Values(nil)
for i, v := range vals {
if real(v) < -1e-10 {
t.Errorf("eigenvalue[%d] = %g, want >= 0", i, real(v))
}
}
}

cwcRes, _ := Gram(csys, GramControllability)
diff := mat.NewDense(2, 2, nil)
diff.Sub(wcRes.X, cwcRes.X)
if mat.Norm(diff, 1) < 1e-10 {
t.Error("discrete and continuous gramians should differ")
}
}

func TestHSV_MATLABValidated(t *testing.T) {
sys, err := New(
mat.NewDense(2, 2, []float64{1, -2, 3, -4}),
mat.NewDense(2, 1, []float64{5, 7}),
mat.NewDense(1, 2, []float64{6, 8}),
mat.NewDense(1, 1, []float64{9}), 0)
if err != nil {
t.Fatal(err)
}

hsv, err := HSV(sys)
if err != nil {
t.Fatal(err)
}
if len(hsv) != 2 {
t.Fatalf("len(hsv) = %d, want 2", len(hsv))
}
want := []float64{24.42686, 0.5731395}
for i, w := range want {
if math.Abs(hsv[i]-w)/w > 1e-3 {
t.Errorf("hsv[%d] = %g, want %g", i, hsv[i], w)
}
}
}

func TestH2Norm_FirstOrder(t *testing.T) {
sys, err := New(
mat.NewDense(1, 1, []float64{-1}),
mat.NewDense(1, 1, []float64{1}),
mat.NewDense(1, 1, []float64{1}),
mat.NewDense(1, 1, []float64{0}), 0)
if err != nil {
t.Fatal(err)
}

got, err := H2Norm(sys)
if err != nil {
t.Fatal(err)
}
want := 1.0 / math.Sqrt(2)
if math.Abs(got-want) > 1e-10 {
t.Errorf("H2 = %.15g, want %.15g", got, want)
}
}

func TestHinfNorm_FirstOrder_Hardening(t *testing.T) {
sys, err := New(
mat.NewDense(1, 1, []float64{-1}),
mat.NewDense(1, 1, []float64{1}),
mat.NewDense(1, 1, []float64{1}),
mat.NewDense(1, 1, []float64{0}), 0)
if err != nil {
t.Fatal(err)
}

norm, _, err := HinfNorm(sys)
if err != nil {
t.Fatal(err)
}
if math.Abs(norm-1.0) > 1e-10 {
t.Errorf("Hinf = %.15g, want 1.0", norm)
}
}

func TestH2Norm_Unstable_IsInfinite(t *testing.T) {
sys, err := New(
mat.NewDense(1, 1, []float64{1}),
mat.NewDense(1, 1, []float64{1}),
mat.NewDense(1, 1, []float64{1}),
mat.NewDense(1, 1, []float64{0}), 0)
if err != nil {
t.Fatal(err)
}

got, err := H2Norm(sys)
if err == nil && !math.IsInf(got, 1) {
t.Errorf("H2 = %g for unstable system, want +Inf or error", got)
}
}

func TestHinfNorm_MarginallyStable_IsInfinite(t *testing.T) {
sys, err := New(
mat.NewDense(2, 2, []float64{0, 1, -1, 0}),
mat.NewDense(2, 1, []float64{0, 1}),
mat.NewDense(1, 2, []float64{1, 0}),
mat.NewDense(1, 1, []float64{0}), 0)
if err != nil {
t.Fatal(err)
}

norm, _, err := HinfNorm(sys)
if err != nil {
return
}
if norm < 1e6 {
t.Errorf("Hinf = %g for marginally stable system, want very large or +Inf", norm)
}
}

func TestNorms_MIMO_MATLABValidated(t *testing.T) {
sys, err := New(
mat.NewDense(3, 3, []float64{
-1.017041847539126, -0.224182952826418, 0.042538079149249,
-0.310374015319095, -0.516461581407780, -0.119195790221750,
-1.452723568727942, 1.799586083710209, -1.491935830615152,
}),
mat.NewDense(3, 2, []float64{
0.312858596637428, -0.164879019209038,
-0.864879917324456, 0.627707287528727,
-0.030051296196269, 1.093265669039484,
}),
mat.NewDense(2, 3, []float64{
1.109273297614398, 0.077359091130425, -1.113500741486764,
-0.863652821988714, -1.214117043615409, -0.006849328103348,
}),
mat.NewDense(2, 2, nil), 0)
if err != nil {
t.Fatal(err)
}

hinf, _, err := HinfNorm(sys)
if err != nil {
t.Fatal(err)
}
wantHinf := 4.276759162964244
if math.Abs(hinf-wantHinf)/wantHinf > 1e-4 {
t.Errorf("Hinf = %g, want %g", hinf, wantHinf)
}

h2, err := H2Norm(sys)
if err != nil {
t.Fatal(err)
}
wantH2 := 2.237461821810309
if math.Abs(h2-wantH2)/wantH2 > 1e-4 {
t.Errorf("H2 = %g, want %g", h2, wantH2)
}
}

func TestBalred_MATLABValidated(t *testing.T) {
sys, err := New(
mat.NewDense(4, 4, []float64{
0, 1, 0, 0,
0, 0, 1, 0,
0, 0, 0, 1,
-60, -200, -60, -15,
}),
mat.NewDense(4, 1, []float64{0, 0, 0, 1}),
mat.NewDense(1, 4, []float64{32, 45, 11, 1}),
mat.NewDense(1, 1, []float64{0}), 0)
if err != nil {
t.Fatal(err)
}

origDC, err := sys.DCGain()
if err != nil {
t.Fatal(err)
}

red, _, err := Balred(sys, 2, Truncate)
if err != nil {
t.Fatal(err)
}
nr, _, _ := red.Dims()
if nr != 2 {
t.Fatalf("n = %d, want 2", nr)
}

stable, err := red.IsStable()
if err != nil {
t.Fatal(err)
}
if !stable {
t.Error("reduced system is not stable")
}

redDC, err := red.DCGain()
if err != nil {
t.Fatal(err)
}
wantDC := origDC.At(0, 0)
gotDC := redDC.At(0, 0)
if math.Abs(gotDC-wantDC)/math.Abs(wantDC) > 0.5 {
t.Errorf("DC gain = %g, want ~%g", gotDC, wantDC)
}
}

func TestBalred_MarginallyStable(t *testing.T) {
sys, err := New(
mat.NewDense(2, 2, []float64{0, 1, 0, 0}),
mat.NewDense(2, 1, []float64{0, 1}),
mat.NewDense(1, 2, []float64{1, 0}),
mat.NewDense(1, 1, []float64{0}), 0)
if err != nil {
t.Fatal(err)
}

defer func() {
if r := recover(); r != nil {
t.Fatalf("Balreal panicked: %v", r)
}
}()

_, err = Balreal(sys)
if err != nil {
return
}

defer func() {
if r := recover(); r != nil {
t.Fatalf("Balred panicked: %v", r)
}
}()

_, _, err = Balred(sys, 1, Truncate)
if err != nil {
return
}
}

func TestGram_Symmetry(t *testing.T) {
sys, err := New(
mat.NewDense(2, 2, []float64{-2, 0.5, 0, -3}),
mat.NewDense(2, 1, []float64{1, 1}),
mat.NewDense(1, 2, []float64{1, 1}),
mat.NewDense(1, 1, []float64{0}), 0)
if err != nil {
t.Fatal(err)
}

wcRes, err := Gram(sys, GramControllability)
if err != nil {
t.Fatal(err)
}
woRes, err := Gram(sys, GramObservability)
if err != nil {
t.Fatal(err)
}

for _, tc := range []struct {
name string
g *mat.Dense
}{
{"Wc", wcRes.X},
{"Wo", woRes.X},
} {
n, _ := tc.g.Dims()
nrm := mat.Norm(tc.g, 1)
if nrm < 1e-15 {
continue
}
for i := range n {
for j := range i {
diff := math.Abs(tc.g.At(i, j) - tc.g.At(j, i))
if diff > 1e-12*nrm {
t.Errorf("%s[%d,%d] - %s[%d,%d] = %g, want symmetric", tc.name, i, j, tc.name, j, i, diff)
}
}
}
}
}

func TestHinfNorm_WithFeedthrough(t *testing.T) {
sys, err := New(
mat.NewDense(1, 1, []float64{-1}),
mat.NewDense(1, 1, []float64{1}),
mat.NewDense(1, 1, []float64{1}),
mat.NewDense(1, 1, []float64{2}), 0)
if err != nil {
t.Fatal(err)
}

norm, _, err := HinfNorm(sys)
if err != nil {
t.Fatal(err)
}
if math.Abs(norm-3.0) > 1e-6 {
t.Errorf("Hinf = %g, want 3.0", norm)
}

dc, err := sys.DCGain()
if err != nil {
t.Fatal(err)
}
if norm < math.Abs(dc.At(0, 0))-1e-10 {
t.Errorf("Hinf(%g) < |DC gain|(%g)", norm, math.Abs(dc.At(0, 0)))
}
}

func TestGram_Unstable_Continuous_Hardening(t *testing.T) {
sys, err := New(
mat.NewDense(1, 1, []float64{1}),
mat.NewDense(1, 1, []float64{1}),
mat.NewDense(1, 1, []float64{1}),
mat.NewDense(1, 1, []float64{0}), 0)
if err != nil {
t.Fatal(err)
}

_, err = Gram(sys, GramControllability)
if !errors.Is(err, ErrUnstableGramian) {
t.Errorf("got %v, want ErrUnstableGramian", err)
}
_, err = Gram(sys, GramObservability)
if !errors.Is(err, ErrUnstableGramian) {
t.Errorf("got %v, want ErrUnstableGramian", err)
}
}
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