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Simulation and Control of Turbulence at Tokamaks with Artificial Intelligence Methods

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DOI: 10.4236/jmp.2012.312234    4,219 Downloads   8,075 Views   Citations
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ABSTRACT

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.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

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.

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