Multi-model neural network IMC

被引：0

作者：

Wen, XY ^{[1
]}

Zhang, JG ^{[1
]}

Zhao, ZC ^{[1
]}

Liu, LQ ^{[1
]}

机构：

[1] Taiyuan Heavy Machinery Inst, Dept Automat, Taiyuan 030024, Peoples R China

来源：

PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年

关键词：

multi-model; internal model control; neural network; Gaussian potential function networks;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Aiming at the practical plants with strong nonlinear characteristics, this Paper proposes multi-model IMC control strategies based on GPF networks. The internal model and Internal model controller represented by GPF networks and the mean of model switch are developed. Simulation demonstrates the validity of this method.

引用

页码：3370 / 3374

页数：5

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