RBFNN based direct adaptive control of MIMO Nonlinear system and its application to a Distillation column

被引：0
|
作者：
Li, SR [1 ]
Shi, HT [1 ]
Li, F [1 ]
机构：
[1] Univ Petr E China, Coll Informat & Control Engn, Dongying 257061, Peoples R China
来源：
PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4 | 2002年
关键词：
Distillation Column; RBFNN; feedback linearization; direct adaptive control;
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 this paper, a RBFNN ( Radial basis function neural network) based direct adaptive controller for MIMO nonlinear system is designed. The tuning law of weights of neural network is derived from a selected Lyapunov function. So the stability of the closed loop and convergence of weights are guaranteed. The design method is applied to the quality control of a distillation column. The dual-point control strategy is adopted instead of single-point control. Some simulation is illustrated to show the validity of the designed controller.
引用
收藏
页码：2896 / 2900
页数：5
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