Application of genetic algorithms to neural networks based control of a liquid level tank system

被引：0

作者：

Vassiljeva, K. ^{[1
]}

Belikov, J. ^{[2
]}

Petlenkov, E. ^{[1
]}

机构：

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

[2] Tallinn Univ Technol, Inst Cybernet, EE-19086 Tallinn, Estonia

来源：

PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) | 2014年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a design of a controller based on the NN-SANARX (Neural Network based Simplified Additive Autoregressive eXogenous) model is considered on the basis of a prototype of a real liquid level tank system. Structure of the neural network is chosen using two different methods of genetic algorithms with multi-objective optimization. The goal of the control algorithm is to track the desired level of the liquid in the upper tank.

引用

页码：2525 / 2530

页数：6

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