diff --git a/plugins/ode/README.rst b/plugins/ode/README.rst
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--- a/plugins/ode/README.rst
+++ b/plugins/ode/README.rst
@@ -4,8 +4,6 @@
 ODE plugin
 ============
 
-By G. Chabert and A. Goldsztejn
-
 This plugin is intended to gather several tools for
 the simulation and analysis of ODEs.
 
diff --git a/plugins/ode/README.txt b/plugins/ode/README.txt
deleted file mode 100644
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--- a/plugins/ode/README.txt
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@@ -1,74 +0,0 @@
-
-
-============
-ODE plugin
-============
-
-This plugin is intended to gather several tools for
-the simulation and anaylsis of ODEs.
-
-Currently, it contains a single program ibexode-attract-region, 
-that allows to calculate a region inside wich all points converge to a
-(exponentially) stable point of a dynamical system.
-
-See the paper::
-
-  Estimating the Robust Domain of Attraction for Non-Smooth Systems using an Interval Lyapunov Equation
-  by A. Goldsztejn and G. Chabert
-  in Automatica, Vol. 100, pp. 371-377, Elsevier, 2019
- 
-
-***************
-Installation
-***************
-
-Just use --with-ode in the configure step::
-
-   ibex$ ./waf configure --with-optim --with-ode --lp-lib=soplex
-   ibex$ sudo ./waf install
-
-The executable "ibexode-attract-region" is installed by default
-on the "bin" folder of IBEX. 
-
-The examples of the paper cited above are all in the examples/ subfolder of this plugin.
-
-
-***************
-Usage
-***************
-
-Try for instance::
-
-   ibex$ ./ibexode-attract-region plugins/ode/examples/Example1.txt
-
-To use this executable on your own problem, just copy-paste one of the Minibex examples
-and adapt it to your problem. The Minibex file must contains:
-
-- a function f(x) that represents your vector field, i.e. the mapping of your ODE x'=f(x).  
-  Note that x can be a vector argument of any size. So you can declare a function f(x[3]) for instance .
-  The function f can have an extra argument "theta" (i.e. we have f(x,theta)) if your vector field has an uncertain parameter "theta".
-  This argument can also be a vector. See the paper for more details on how uncertainty is considered in this tool.
-- a function v(x) that represents the chosen Lyapunov function.
-- a quadratic function vminor(x) minoring v(x), if v(x) is not already quadratic. The function vminor is ignored if v is already quadratic.
-- a declaration of a (vector) variable x with an approximation of the fixpoint of as domain. The variable is declared just as in a
-  standard Minibex system of equations.
-- a declaration of a (vector) variable theta if the system has an uncertain parameter theta, with potentially an initial domain
-- optionally, constraints on the uncertain parameter theta, in complement with the initial domain
-
-
-
-To run the "academic benchmark" of the paper::
-
-1- set the PKG_CONFIG_PATH variable:
-
-   $ export PKG_CONFIG_PATH=[path-to-ibex]/share/pkgconfig
-
-2- compile the programs (from this directory)::
-
-   $ make
-
-4- run the program. Example::
-
-   $ ./dicho-scalable examples/scalable/Scalable2_ 2 10 1e-3 10
-
-