Optimizing PID control for multi-model adaptive high-speed rail platform door systems with an improved metaheuristic approach
This study delves into the optimization of PID control parameters for Multi-model Adaptive High-speed Rail Platform Door Control Systems (MMAHSR-PDCS) using the Individual-Based Model Dynamic Multi-Swarm Snow Goose Algorithm (IBM-Dy-SGA). The IBM-Dy-SGA effectively balances exploration and exploitat...
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| Main Authors: | Dong Zhan, Ai-Qing Tian, Shao-Quan Ni |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
|
| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525002893 |
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