This paper develops a fuzzy model to simulate the behaviour of a nonlinear system, in
particular a plasma source, with a view to developing a control system for processing …

This paper reports work on the development of an automatic control system for a Helicon
plasma processing source. The lack of a definitive physical model for the plasma physics of …

Plasma variables such as electron density and radicals provide valuable insight into the
fundamental physics of rf discharge while contributing to equipment optimization and …

The successful operation of a tokamak fusion reactor rests on its ability to stably confine a
very hot plasma. The quality of the discharge in the Saskatchewan TORus-Modified (STOR …

Adequate control of the position of the plasma column within the STOR-M tokamak is a chief
requirement in order for experimental quality discharges to be obtained. Optimal control over …

A novel plasma shape identification procedure based on both neural network (NN) and
fuzzy system (FS) approaches is presented. The derived processor takes firstly advantage of …

In this paper, a closed-loop fuzzy logic controller based on the particle swarm optimization
algorithm is proposed for controlling the power level of nuclear research reactors. The …

Equipment plasma has been modeled semi-empirically using neural networks in
conjunction with statistical experimental design. A 3/sup 3/factorial design was employed to …

Several parameters characterize systems for materials processing that use radio frequency
electrical discharges in gases at low pressure. These include directly measurable quantities …

Tokamaks are the most promising devices for obtaining nuclear fusion energy from high-
temperature, ionized gas termed as Plasma. The successful operation of tokamak depends …