Neuro-fuzzy model-based control

被引：4
|
作者：
Matko, D [1 ]
Kavsek-Biasizzo, K [1 ]
Kocijan, J [1 ]
机构：
[1] Univ Ljubljana, Fac Elect Engn, Ljubljana 1000, Slovenia
来源：
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS | 1998年 / 23卷 / 2-4期
关键词：
intelligent control; fuzzy control; predictive control; nonlinear models; nonlinear control; heat exchangers;
D O I：
10.1023/A:1008071130242
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper deals with the Neuro-fuzzy model-based control and its application. Various types of the fuzzy logic and neural-net-based nonlinear autoregressive models with exogenous variables are reviewed with respect to the model error. Two types of model-based neuro-fuzzy control - a cancellation controller and a predictive controller are reviewed - and the robustness issues of such control are discussed. Finally, the application of the proposed design method to a laboratory scale heat exchanger is given.
引用
收藏
页码：249 / 265
页数：17
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