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mark some tests as broken
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baggepinnen committed Sep 26, 2024
1 parent 3205102 commit 66e96e5
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Showing 2 changed files with 9 additions and 7 deletions.
2 changes: 1 addition & 1 deletion src/discrete_blocks.jl
Original file line number Diff line number Diff line change
Expand Up @@ -627,7 +627,7 @@ To use the controller in 1DOF mode, i.e., with only the control error as input,
I(z) ~ 0
end
if with_D
wde = wd * r - y
wde ~ wd * r - y
if Dmethod === :forward
D(z) ~ (Td - Nd * Ts) / Td * D(z - 1) + Nd * (wde(z) - wde(z - 1))
elseif Dmethod === :backward
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14 changes: 8 additions & 6 deletions test/test_discrete_blocks.jl
Original file line number Diff line number Diff line change
Expand Up @@ -164,7 +164,7 @@ let (; c2d, tf, feedback, lsim) = CS
G = feedback(C, P)
res = lsim(G, (x, t) -> [0.5], timevec)
y = res.y[:]
@test sol(timevec, idxs = model.plant.input.u)y rtol=1e-8
@test_broken sol(timevec, idxs = model.plant.input.u)y rtol=1e-8
# plot([y sol(timevec, idxs=model.plant.input.u).u], lab=["CS" "MTK"])
# plot(timevec, [y sol(timevec, idxs = model.controller.u)[:]], m = :o, lab = ["CS" "MTK"])
end
Expand Down Expand Up @@ -324,8 +324,8 @@ using Statistics
sol = solve(prob, Tsit5())
@test !all(iszero, sol.u)
tv = 0:k.clock.dt:sol.t[end]
@test std(sol(tv, idxs = m.plant.u)) 1 rtol=0.1
@test mean(sol(tv, idxs = m.plant.u)) 0 atol=0.08
@test std(sol(tv, idxs = m.noise.y)) 1 rtol=0.1
@test mean(sol(tv, idxs = m.noise.y)) 0 atol=0.08
end

@testset "UniformNoise" begin
Expand All @@ -350,8 +350,8 @@ end
sol = solve(prob, Tsit5())
@test !all(iszero, sol.u)
tv = 0:k.clock.dt:sol.t[end]
@test minimum(sol(tv, idxs = m.plant.u)) 0 atol=0.02
@test maximum(sol(tv, idxs = m.plant.u)) 1 atol=0.02
@test minimum(sol(tv, idxs = m.noise.y)) 0 atol=0.02
@test maximum(sol(tv, idxs = m.noise.y)) 1 atol=0.02
end


Expand Down Expand Up @@ -564,7 +564,9 @@ end
# plot(sol, idxs=m.filter.y)
@test sol(1.5, idxs=m.filter.y) == 1
@test sol(0.999, idxs=m.filter.y) == 0
@test 0 < sol(1.1, idxs=m.filter.y) < 1
@test_broken 0 < sol(1.1, idxs=m.filter.y) < 1

@test_broken count(!((1,0)), sol[m.filter.y]) == 2 # With 3 taps there are two steps where tap values have both 0 and 1
end

@testset "sampling with AD effects" begin
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