NN-SANARX model based control of a multi tank liquid-level system

被引：2

作者：

Belikov, Juri ^{[1
]}

Petlenkov, Eduard ^{[2
]}

机构：

[1] Tallinn Univ Technol, Inst Cybernet, EE-12618 Tallinn, Estonia

[2] Tallinn Univ Technol, Dept Comp Control, EE-19086 Tallinn, Estonia

来源：

INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS | 2015年 / 8卷 / 02期

关键词：

Nonlinear Control Systems; Feedback Linearization; Neural Networks; Computational Intelligence;

D O I：

10.1080/18756891.2015.1001950

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper is devoted to application of neural network with a specific restricted connectivity structure for identification and control of a real process. Parameters of the identified model are used to design a controller based on dynamic feedback linearization. The designed neural network based controller is verified on mathematical model within MATLAB/Simulink environment and applied to the real-time control of a laboratory plant. Water tank system was chosen as a case study to illustrate applicability of the proposed approach. Several experimental results as well as comparison with some alternative methods are provided.

引用

页码：265 / 277

页数：13

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