Reduced-order adaptive synchronization in a chaotic neural network with parameter mismatch: a dynamical system versus machine learning approach

HIGHLIGHTS

• What: Through this technique the authors develop appropriate control functions to synchronize a 4D chaotic HR neuron (response system) with the canonical projection of a 5D chaotic HR neuron (drive system). The problem of same-order complete synchronization has been the main focus of previous research , and due to the systems having the same dimension and, hence, structurally comparable, complete synchro- nization (as described in Definition 1) becomes relatively easier to achieve. In Fig 8, the authors investigate the stability of the synchronization manifold in the k1 - k2 parameter space with a 200 × 500 grid points. In . . .
  

   

  

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