eess.SY（2024-11-18）
📊 共 7 篇论文
🎯 兴趣领域导航
支柱一：机器人控制 (Robot Control) (3)
支柱四：生成式动作 (Generative Motion) (2)
支柱二：RL算法与架构 (RL & Architecture) (1)
支柱九：具身大模型 (Embodied Foundation Models) (1)
🔬 支柱一：机器人控制 (Robot Control) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Coevolution of Opinion Dynamics and Recommendation System: Modeling, Analysis and Reinforcement Learning Based Manipulation | 提出融合观点动力学与推荐系统的分析框架，揭示协同演化机制与操控方法 | manipulation reinforcement learning | ||
| 2 | Towards Mitigating Sim2Real Gaps: A Formal Quantitative Approach | 提出基于仿真间隙函数的量化方法，缓解Sim2Real迁移中的差距 | sim2real | ||
| 3 | Carleman-Fourier Linearization of Complex Dynamical Systems: Convergence and Explicit Error Bounds | 提出Carleman-Fourier线性化方法，解决复杂动力系统的精确近似与控制问题 | model predictive control |
🔬 支柱四：生成式动作 (Generative Motion) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 4 | Machine Learning-Assisted Distribution System Network Reconfiguration Problem | 提出基于机器学习的配电系统网络重构方法，加速优化求解。 | penetration | ||
| 5 | On the Incorporation of Stability Constraints into Sequential Operational Scheduling | 将稳定约束纳入序贯运行调度，提升含高比例逆变器电源系统的稳定性 | penetration |
🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 6 | Design And Optimization Of Multi-rendezvous Manoeuvres Based On Reinforcement Learning And Convex Optimization | 提出基于强化学习和凸优化的多目标交会轨迹设计与优化框架 | reinforcement learning |
🔬 支柱九：具身大模型 (Embodied Foundation Models) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 7 | Exploring LLMs for Verifying Technical System Specifications Against Requirements | 探索大型语言模型在技术系统规范与需求验证中的应用 | large language model |