Grey wolf optimizer for identification of liquid slosh behavior using continuous-time hammerstein model
This paper presents the identification of liquid slosh plant using the Hammerstein model based on Grey Wolf Optimizer (GWO) method. A remote car that carrying a container of liquid is considered as the liquid slosh experimental rig. In contrast to other research works, this paper consider a piece-wi...
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Main Authors: | , , , |
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Format: | Article |
Language: | English English |
Published: |
IAES
2020
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/27929/1/11.%20A%20grey%20wolf%20optimizer%20for%20identification%20of%20liquid.pdf http://umpir.ump.edu.my/id/eprint/27929/2/11.1%20A%20grey%20wolf%20optimizer%20for%20identification%20of%20liquid.pdf http://umpir.ump.edu.my/id/eprint/27929/ http://dx.doi.org/10.11591/eei.v9i2.2074 http://dx.doi.org/10.11591/eei.v9i2.2074 |
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Institution: | Universiti Malaysia Pahang |
Language: | English English |
Internet
http://umpir.ump.edu.my/id/eprint/27929/1/11.%20A%20grey%20wolf%20optimizer%20for%20identification%20of%20liquid.pdfhttp://umpir.ump.edu.my/id/eprint/27929/2/11.1%20A%20grey%20wolf%20optimizer%20for%20identification%20of%20liquid.pdf
http://umpir.ump.edu.my/id/eprint/27929/
http://dx.doi.org/10.11591/eei.v9i2.2074
http://dx.doi.org/10.11591/eei.v9i2.2074