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Updated: Jan 10, 2026

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对比元启发式算法设定点跟踪基于模型预测控制的重量优化

Kawsar Nassereddine1, Marek Turzynski2

  • 1Faculty of Electrical and Control Engineering, Gdansk University of Technology, Gdansk, Poland. nassereddinejana@gmail.com.

Scientific reports
|November 21, 2025
PubMed
概括

本研究优化了使用元启发算法的DC微电网的模型预测控制器 (MPC). 在2%以下的误差下实现了粒子群优化,提高了复杂能源系统的效率和控制精度.

关键词:
模型预测控制模型预测控制粒子群集优化优化 粒子群集优化灵敏度分析是一种灵敏度分析.设定点跟踪跟踪的设定点跟踪重量调整调整的重量调整

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