Neural network-based nonlinear model predictive control vs. linear quadratic gaussian control

被引：0
|
作者：
C. Cho
R. Vance
N. Mardi
Z. Qian
K. Prisbrey
机构：
[1] Seoul University,
[2] Idaho Geological Survey,undefined
[3] University of Idaho,undefined
[4] ERAD Inc.,undefined
[5] University of Idaho,undefined
来源：
Mining, Metallurgy & Exploration | 1997年 / 14卷
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D O I：
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学科分类号：
摘要：
One problem with the application of neural networks to the multivariable control of mineral and extractive processes is determining whether and how to use them. The objective of this investigation was to compare neural network control to more conventional strategies and to determine if there are any advantages in using neural network control in terms of set-point tracking, rise time, settling time, disturbance rejection and other criteria.
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页码：43 / 46
页数：3
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