DocumentCode
1798353
Title
Application of genetic algorithms to neural networks based control of a liquid level tank system
Author
Vassiljeva, K. ; Belikov, Juri ; Petlenkov, Eduard
Author_Institution
Dept. of Comput. Control, Tallinn Univ. of Technol., Tallinn, Estonia
fYear
2014
fDate
6-11 July 2014
Firstpage
2525
Lastpage
2530
Abstract
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.
Keywords
autoregressive processes; control system synthesis; neurocontrollers; tanks (containers); NN-SANARX model; controller design; genetic algorithms; multiobjective optimization; neural network based simplified additive autoregressive exogenous model; real liquid level tank system; Algorithm design and analysis; Artificial neural networks; Biological neural networks; Genetic algorithms; Sociology; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6627-1
Type
conf
DOI
10.1109/IJCNN.2014.6889912
Filename
6889912
Link To Document