摘要
本文将单变量广义预测控制原理应用到多变量模糊系统,提出了一种基于辨识模糊模型的多变量预测控制方法。仿真研究表明,该模糊广义预测控制方法适用于工业过程的动态辨识和控制,并能取得良好的效果。
In this paper, the principle of single-variable generalized predictive control has been applied to multivariable fuzzy systems and a multi variable predictive control approach based on the identified fuzzy model has been put forward The simulation study shows that the fuzzy generalized predictive control approach is very effective for the dynamic identification and control of industrial processes.
出处
《自动化学报》
EI
CSCD
北大核心
1993年第1期9-17,共9页
Acta Automatica Sinica
关键词
模糊辨识
预测控制
多参数控制
Multivariable system
fuzz identification
fuzzy rule
generalized predictive control.
