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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Bibliographic Details
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
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Online Access:http://www.sciencedirect.com/science/article/pii/S0142061525002893
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