eess.SY(2026-04-30)

📊 共 4 篇论文

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支柱二:RL算法与架构 (RL & Architecture) (2) 支柱一:机器人控制 (Robot Control) (1) 支柱四:生成式动作 (Generative Motion) (1)

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
1 Intelligent Self-tuning Active EMI Filtering for Electrified Automotive Power Systems Using Reinforcement Learning 提出基于强化学习的自适应主动EMI滤波方法,用于提升电动汽车电力系统的电磁兼容性。 reinforcement learning
2 Data-Driven Continuous-Time Linear Quadratic Regulator via Closed-Loop and Reinforcement Learning Parameterizations 提出基于闭环和强化学习参数化的数据驱动连续时间LQR方法 reinforcement learning

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗
3 A MEC-Based Optimization Framework for Dynamic Inductive Charging 提出基于MEC的动态无线充电优化框架,解决电动汽车充电资源分配问题 MPC model predictive control

🔬 支柱四:生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗
4 An Annual Quasi-Static Time-Series Simulation Framework for Enhanced Transmission System Expansion Planning 提出年度准静态时序仿真框架,增强输电系统扩展规划能力 penetration

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