ИСТИНА

Artificial neural networks with different structures are used for identification of complex dynamic plant with distributed parameters. The plant is a high temperature plasma in the spherical Globus-M2 tokamak. Experimental data from it were processed by plasma reconstruction code based on Picard iterations namely the Flux-Current Distribution Identification (FCDI) code. It is smart technology to obtain distributed plasma parameters by minimizing difference between measured and reconstructed signals. Then artificial neural network was applied to identify the data obtained by the FCDI code on the hardware as a real-time testbed realized on the Speedgoat computer. The aim of that repeated identification is to increase the speed of response to operate in real time in the closed-loop control system of plasma shape.