doc: minor correction

Author: franckgaga

CITATION.cff

@@ -17,5 +17,5 @@ preferred-citation:
       given-names: "Fredrik"
   title: "ModelPredictiveControl.jl: advanced process control made easy in Julia"
   year: 2024
-  doi: "10.1007/978-3-030-68928-5"
+  doi: "10.48550/arXiv.2411.09764"
   url: "https://arxiv.org/abs/2411.09764"

docs/src/manual/installation.md

@@ -15,7 +15,7 @@ with this package in the current working directory, write this in the REPL:
 using Pkg; Pkg.generate("MPCproject"); Pkg.activate("."); Pkg.add("ModelPredictiveControl")
 ```
 
-Note that that the construction of linear models typically requires `ss` or `tf` functions,
+Note that the construction of linear models typically requires `ss` or `tf` functions,
 it is thus advised to load the package with:
 
 ```julia

src/controller/explicitmpc.jl

@@ -106,10 +106,10 @@ See [`LinMPC`](@ref) for the variable definitions. This controller does not supp
 constraints but the computational costs are extremely low (array division), therefore 
 suitable for applications that require small sample times. The keyword arguments are
 identical to [`LinMPC`](@ref), except for `Cwt`, `transcription` and `optim`, which are not
-supported. This controller uses a [`SingleShooting`](@ref) transcription method.
+supported. It uses a [`SingleShooting`](@ref) transcription method and is allocation-free.
 
 This method uses the default state estimator, a [`SteadyKalmanFilter`](@ref) with default
-arguments. This controller is allocation-free.
+arguments. 
 
 # Examples
 ```jldoctest