Simulation and Control of Turbulence at Tokamaks with Artificial Intelligence Methods

DOI: 10.4236/jmp.2012.312234   PDF   HTML     4,422 Downloads   8,359 Views   Citations


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 the appropriate theorem is shown.

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D. Rastovic, "Simulation and Control of Turbulence at Tokamaks with Artificial Intelligence Methods," Journal of Modern Physics, Vol. 3 No. 12, 2012, pp. 1858-1869. doi: 10.4236/jmp.2012.312234.

Conflicts of Interest

The authors declare no conflicts of interest.


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