Improved Manta Ray Foraging Optimization for PID Control Parameter Tuning in Artillery Stabilization Systems
In this paper, an Improved Manta Ray Foraging Optimization (IMRFO) algorithm is proposed to address the challenge of parameter tuning in traditional PID controllers for artillery stabilization systems. The proposed algorithm introduces chaotic mapping to optimize the initial population, enhancing th...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2025-04-01
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| Series: | Biomimetics |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/2313-7673/10/5/266 |
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