Simulation and Control of Turbulence at Tokamaks with Artificial Intelligence Methods  

作　　者：Danilo Rastovic 

机构地区：[1]Control Systems Group, Zagreb, Croatia

出　　处：《Journal of Modern Physics》2012年第12期1858-1869,共12页现代物理（英文）

摘　　要：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.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.

关 键 词：TOKAMAK TURBULENCE Control Artificial INTELLIGENCE DRIFT KINETIC Equation 

分 类 号：TP1[自动化与计算机技术—控制理论与控制工程]