Generalized predictive control based on error correction using the dynamic neural network

被引：0
|
作者：
Liu, XH [1 ]
Wang, XH [1 ]
Wang, YG [1 ]
机构：
[1] Yantai Teachers Univ, Yantai 264025, Peoples R China
来源：
PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5 | 2000年
关键词：
nonlinear system; predictive control; neural network; dynamic compensation; robustness;
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 the consideration of the influence of modelling error to the robustness at nonlinear predictive control, the paper proposes a Generalized predictive control algorithm based cm error Correction using the dynamic BP network, the algorithm has the dynamically compensting capability so that the dynamic error ed the model can be effectively reduced and the modelling accuracy can be raised. The simulation results show the algorithm is effective for nonlinear system.
引用
收藏
页码：1863 / 1865
页数：3
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