On the new method for the control of discrete nonlinear dynamic systems using neural networks

被引：11

作者：

Deng, H ^{[1
]}

Li, HX

机构：

[1] Cent S Univ, Coll Mech & Elect Engn, Changsha 410083, Peoples R China

[2] City Univ Hong Kong, Dept Mfg Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS | 2006年 / 17卷 / 02期

关键词：

approximate models; neural networks; nonlinear control; nonminimum phase;

D O I：

10.1109/TNN.2006.871723

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This correspondence points out an incorrect statement in Adetona et al., 2000, and Adetona et at., 2004, about the application of the proposed control law to nonminimum phase systems. A counterexample shows the limitations of the control law and, furthermore, its control capability to nonminimum phase systems is explained.

引用

页码：526 / 529

页数：4

共 7 条

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[7]

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