eess.SY(2026-10-23)

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支柱九:具身大模型 (Embodied Foundation Models) (2) 支柱二:RL算法与架构 (RL & Architecture) (2) 支柱四:生成式动作 (Generative Motion) (1) 支柱一:机器人控制 (Robot Control) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (2 篇)

#题目一句话要点标签🔗⭐
1 Foundation Models Meet Power Grid Topology for Cascade Prediction 提出混合图神经网络与语言模型以提高电力网级联故障预测 large language model foundation model
2 State Estimation as In-context Tabular Prediction 将状态估计视为上下文表格预测问题 foundation model

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

#题目一句话要点标签🔗⭐
3 Cross-Scenario Controller Parameter Transformation from Real-World Driving Data through Flow Matching 提出基于流匹配的驾驶场景控制器参数转化方法 flow matching classifier-free guidance
4 Do LLM-derived text features improve electricity price forecasts beyond document activity? Evidence from Australia's National Electricity Market 利用LLM衍生文本特征提升澳大利亚电价预测准确性 MAE large language model

🔬 支柱四:生成式动作 (Generative Motion) (1 篇)

#题目一句话要点标签🔗⭐
5 Trust-Region Benders for Scalable Multiperiod Expansion Planning for Transmission and Storage 提出信任域Benders方法以解决多周期传输扩展规划问题 penetration

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗⭐
6 On Exact Critical-Region Boundaries in Continuous-Time Multiparametric Optimal Control Problems 提出一种精确计算连续时间多参数最优控制问题的曲线边界的方法 model predictive control

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