Identification of continuous-time hammerstein model using improved archimedes optimization algorithm
Although various optimization algorithms have been widely employed in multiple applications, the traditional Archimedes optimization algorithm (AOA) has presented imbalanced exploration with exploitation phases and the propensity for local optima entrapment. Therefore, this article identified variou...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
| Published: |
KeAi Communications Co.
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42713/1/1-s2.0-S2666307424000378-main.pdf http://umpir.ump.edu.my/id/eprint/42713/7/Identification%20of%20continuous-time%20Hammerstein%20model.pdf http://umpir.ump.edu.my/id/eprint/42713/ https://doi.org/10.1016/j.ijcce.2024.09.004 https://doi.org/10.1016/j.ijcce.2024.09.004 |
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