From 648a433a2645ccd5341dcbd4a04190949ab48163 Mon Sep 17 00:00:00 2001 From: ERIK <52615090+ErikQQY@users.noreply.github.com> Date: Thu, 6 Jan 2022 17:52:07 +0800 Subject: [PATCH] Fix wrong links to MonteCarloMeasurements.jl --- docs/src/uncertainty.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/src/uncertainty.md b/docs/src/uncertainty.md index 4cf036a5..c57e8a10 100644 --- a/docs/src/uncertainty.md +++ b/docs/src/uncertainty.md @@ -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). @@ -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) \ No newline at end of file +[^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)