Skip to content

Commit 2db5d79

Browse files
committed
small fixes
1 parent 0fef874 commit 2db5d79

2 files changed

Lines changed: 4 additions & 4 deletions

File tree

docs/src/similarity.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -42,7 +42,7 @@ plot(step.([feedback(P1,1), feedback(P3,1)], 0.3))
4242
we get very similar step responses! So, what does it *really mean* for two systems to be similar to each other? Simply looking at a simulation of the system might not always be sufficient. Let's have a look at the classical Bode and Nyquist curves:
4343
```@example SIMILARITY
4444
plot(
45-
bodeplot([P1, P2, P3], lab=["P1" "P2" "P3"]),
45+
bodeplot([P1, P2, P3], lab=["P1" "" "P2" "" "P3" ""]),
4646
nyquistplot([P1, P2, P3], lab=["P1" "P2" "P3"], xlims=(-3,1), ylims=(-3,1)),
4747
)
4848
```

docs/src/uncertainty.md

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -366,7 +366,7 @@ We can extract the nominal model using
366366
```@example satellite
367367
system_mapping(Ps)
368368
```
369-
And obtain $M$ and $\Delta$ when the loop is closed with $K$ has
369+
And obtain $M$ and $\Delta$ when the loop is closed with $K$ like this:
370370
```@example satellite
371371
lft(Ps, K).M
372372
```
@@ -378,10 +378,10 @@ We can evaluate the frequency response of $M$ and calculate the structured singu
378378
```@example satellite
379379
M = freqresp(lft(Ps, -K).M, w) # -K to get negative feedback
380380
μ = structured_singular_value(M)
381-
plot(w, μ, xscale=:log10)
381+
plot(w, μ, xscale=:log10, title="Structured singular value μ", xlabel="Frequency [rad/s]", ylabel="μ")
382382
```
383383

384-
$\mu$ is very high, whenever $\mu > 1$, the system is not stable with respect to the modeled uncertainty.
384+
``\mu`` is very high, whenever $\mu > 1$, the system is not stable with respect to the modeled uncertainty.
385385
The tolerated uncertainty is only about $\dfrac{1}{||\mu||_\infty}$
386386
```@example satellite
387387
1/norm(μ, Inf)

0 commit comments

Comments
 (0)