Entropy-based generating Markov partitions for complex systems.

@article{Rubido2018EntropybasedGM,
  title={Entropy-based generating Markov partitions for complex systems.},
  author={Nicol{\'a}s Rubido and Celso Grebogi and Murilo S. Baptista},
  journal={Chaos},
  year={2018},
  volume={28 3},
  pages={
          033611
        }
}
Finding the correct encoding for a generic dynamical system's trajectory is a complicated task: the symbolic sequence needs to preserve the invariant properties from the system's trajectory. In theory, the solution to this problem is found when a Generating Markov Partition (GMP) is obtained, which is only defined once the unstable and stable manifolds are known with infinite precision and for all times. However, these manifolds usually form highly convoluted Euclidean sets, are a priori… 
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