Pregled bibliografske jedinice broj: 803384
From Non-Markovian Processes to Stochastic Real Time Control for Tokamak Plasma Turbulence Via Artificial Intelligence Techniques
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 (međunarodna recenzija, članak, znanstveni)
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Naslov
From Non-Markovian Processes to Stochastic Real Time Control for Tokamak Plasma Turbulence Via Artificial Intelligence Techniques
(From non-Markovian processes to stochastic real time control for tokamak plasma turbulence via artificial intelligence techniques)
Autori
Rastović, Danilo
Izvornik
Journal of fusion energy (0164-0313) 34
(2015), 2;
207-215
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
plasma confinement ; tokamak ; non-Markovian process ; Bayesian inverse method. Ruelle-Perron-Frobenius theorem ; recurrent network
(plasma confinement ; tokamak ; non-Markovian process ; bayesian inverse method ; Ruelle-Perron-Frobenius theorem ; recurrent network)
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
