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Simulation and control of turbulence at tokamaks with artificial intelligence methods

The control of turbulence at tokamaks is very complex problem. The idea is to apply the fuzzy Markovian processes and fuzzy Brownian motions as good approximation of general robust drift kinetic equation. It is obtained by using the artificial neural networks for solving of appropriate advanced control problem. The proof of appropriate theorem is shown.

tokamak; turbulence; control; artificial intelligence; drift kinetic equation

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