Simulation and Control of Turbulence at Tokamaks with Artificial Intelligence Methods | Zendy

Danilo Rastović | Zendy

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Simulation and Control of Turbulence at Tokamaks with Artificial Intelligence Methods

Author(s) -

Danilo Rastović

Publication year - 2012

Publication title -

journal of modern physics

Language(s) - English

Resource type - Journals

eISSN - 2153-120X

pISSN - 2153-1196

DOI - 10.4236/jmp.2012.312234

Subject(s) - tokamak , turbulence , artificial neural network , fuzzy logic , statistical physics , computer science , brownian motion , fuzzy control system , mathematics , physics , control (management) , control theory (sociology) , artificial intelligence , plasma , mechanics , quantum mechanics

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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