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From non-Markovian processes to stochastic real time control for tokamak plasma turbulence via artificial intelligence techniques (CROSBI ID 225482)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Rastović, Danilo From non-Markovian processes to stochastic real time control for tokamak plasma turbulence via artificial intelligence techniques // Journal of fusion energy, 34 (2015), 2; 207-215. doi: 10.1007/s10894-014-9791-5

Podaci o odgovornosti

Rastović, Danilo

engleski

From non-Markovian processes to stochastic real time control for tokamak plasma turbulence via artificial intelligence techniques

The mathematical approach to the magnetic plasma confinement is considered. In this direction we obtain the interpretation of possible generalization of Ruelle-Perron-Frobenius theorem and Bayesian inverse method. The aim is to use artificial neural networks for memorize the past history and on such a way the problem of controlled non-Markovian processes is transferred toward fuzzy Markovian processes. If this process is ergodic then we obtain crisp Markovian process good for application of Bayesian method to plasma confinement.

plasma confinement ; tokamak ; non-Markovian process ; bayesian inverse method ; Ruelle-Perron-Frobenius theorem ; recurrent network

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Podaci o izdanju

34 (2)

2015.

207-215

objavljeno

0164-0313

10.1007/s10894-014-9791-5

Povezanost rada

Strojarstvo

Poveznice
Indeksiranost