Grey wolf optimizer for identification of liquid slosh behavior using continuous-time hammerstein model

• Main Authors: Mohd Ashraf, Ahmad, Zulkifli, Musa, Mohd Helmi, Suid, Mohd Zaidi, Mohd Tumari
• Format: Article
• Language: English; English
• Published: IAES 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• 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

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...