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6 changes: 3 additions & 3 deletions docs/src/uncertainty.md
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Expand Up @@ -10,10 +10,10 @@ See example [`uncertain.jl`](https://github.com/JuliaControl/RobustAndOptimalCon
- [`makeweight`](@ref)
- [`fit_complex_perturbations`](@ref)

We provide two general means of modeling uncertainty, the traditional $M\Delta$ framework [^Skogestad][^Doyle91], and a Monte-Carlo approach using [MonteCarloMeasurements.jl](https://github.com/baggepinnen/.MonteCarloMeasurements.jl)
We provide two general means of modeling uncertainty, the traditional $M\Delta$ framework [^Skogestad][^Doyle91], and a Monte-Carlo approach using [MonteCarloMeasurements.jl](https://github.com/baggepinnen/MonteCarloMeasurements.jl)


## Parametric uncertainty using [MonteCarloMeasurements.jl](https://github.com/baggepinnen/.MonteCarloMeasurements.jl)
## Parametric uncertainty using [MonteCarloMeasurements.jl](https://github.com/baggepinnen/MonteCarloMeasurements.jl)
The most straightforward way to model uncertainty is to use uncertain parameters, using tools such as [IntervalArithmetic](https://github.com/JuliaIntervals/IntervalArithmetic.jl) (strict, worst case guarantees) or [MonteCarloMeasurements](https://github.com/baggepinnen/MonteCarloMeasurements.jl) (less strict worst-case analysis or probabilistic).
In the following, we show an example with MIMO systems with both parametric uncertainty and diagonal, complex uncertainty, adapted from 8.11.3 in Skogestad, "Multivariable Feedback Control: Analysis and Design". This example is also available as a julia script in [`uncertain.jl`](https://github.com/JuliaControl/RobustAndOptimalControl.jl/blob/master/examples/uncertain.jl).

Expand Down Expand Up @@ -320,4 +320,4 @@ robstab(lft(Ps, -K))

[^Skogestad]: Skogestad, "Multivariable Feedback Control: Analysis and Design"

[^Doyle91]: Doyle, Packard, Zhou, "Review of LFTs, LMIs and μ". [`https://www.researchgate.net/publication/257200344_Review_of_LFTs_LMIs_and_mu`](https://www.researchgate.net/publication/257200344_Review_of_LFTs_LMIs_and_mu)
[^Doyle91]: Doyle, Packard, Zhou, "Review of LFTs, LMIs and μ". [`https://www.researchgate.net/publication/257200344_Review_of_LFTs_LMIs_and_mu`](https://www.researchgate.net/publication/257200344_Review_of_LFTs_LMIs_and_mu)