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README.md

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 # do-mpc: Robust optimal control toolbox
 
-![Documentation Status](https://readthedocs.org/projects/do-mpc/badge/?version=latest)
+[![Documentation Status](https://readthedocs.org/projects/do-mpc/badge/?version=latest)](https://do-mpc.readthedocs.io/en/latest/?badge=latest)
 [![Build Status](https://travis-ci.org/do-mpc/do-mpc.svg?branch=master)](https://travis-ci.org/do-mpc/do-mpc)
 
 **do-mpc** proposes a new, modularized implementation for optimization based model predictive control (MPC) and moving horizon estimation (MHE). **do-mpc** enables the efficient formulation and solution of control and estimation problems for nonlinear systems, including tools to deal with uncertainty and time discretization. The modular structure of do-mpc contains simulation, estimation and control components that can be easily extended and combined to fit many different applications.