A neuro-fuzzy approach for hardware modeling of nuclear fusion reactors plasma

被引：0

作者：

Porto, D ^{[1
]}

Morabito, F ^{[1
]}

Branciforte, M ^{[1
]}

Calabrò, A ^{[1
]}

机构：

[1] STMicroelectronics, Soft Comp Grp, I-95121 Catania, Italy

来源：

ICES 2002: 9TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS, VOLS I-111, CONFERENCE PROCEEDINGS | 2002年

关键词：

nonlinear systems; fuzzy neural networks; analog circuits;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

in this paper a hardware design of a behaviour predictor of a nuclear fusion plasma is presented. It is based on a fuzzy neural network modelization of the nonlinear relation existing among the six forcing magnetic fields and the geometric displacement of the high-temperature plasma. This approach fits quite well with the intrinsic nonlinearity of this phenomena, providing a good degree of approximation. Each design step is described and the final board is suitably tested in order to validate the proposed approach.

引用

页码：1255 / 1258

页数：4