A spatio-temporal fractal model for a CPS approach to brain-machine-body interfaces

Capturing the mathematical features of physical and cyber processes is essential for endowing the CPS with built-in intelligence. In this paper, we develop a compact yet accurate mathematical model able to capture the spatio-temporal fractal cross-dependencies between coupled processes and illustrate its benefits within the context of brain-machine-body interface. Our generalized mathematical model improves the modeling accuracy of the dynamics of biological processes and is validated against medical observations.

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