eess.SY(2025-04-15)
📊 共 7 篇论文
🎯 兴趣领域导航
支柱一:机器人控制 (Robot Control) (3)
支柱二:RL算法与架构 (RL & Architecture) (3)
支柱八:物理动画 (Physics-based Animation) (1)
🔬 支柱一:机器人控制 (Robot Control) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Neural Networks for on-chip Model Predictive Control: a Method to Build Optimized Training Datasets and its application to Type-1 Diabetes | 提出优化采样数据集(OSD)方法,提升神经网络在片上模型预测控制中的精度,应用于I型糖尿病血糖控制。 | MPC model predictive control | ||
| 2 | Robust MPC for Uncertain Linear Systems -- Combining Model Adaptation and Iterative Learning | 提出一种鲁棒自适应学习MPC框架,结合模型自适应和迭代学习,用于不确定线性系统。 | MPC model predictive control | ||
| 3 | Offset-free Nonlinear MPC with Koopman-based Surrogate Models | 提出基于Koopman算子代理模型的无偏非线性MPC,解决系统平衡信息不全时的跟踪控制问题。 | MPC model predictive control |
🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 4 | Multi-Agent Reinforcement Learning for Decentralized Reservoir Management via Murmuration Intelligence | MurmuRL:利用鸟群智能的多智能体强化学习实现去中心化水库管理 | reinforcement learning | ||
| 5 | Sensitivity Analysis of State Space Models for Scrap Composition Estimation in EAF and BOF | 提出基于状态空间模型的废钢成分估计方法,适用于电弧炉和转炉炼钢过程。 | state space model | ||
| 6 | Data driven approach towards more efficient Newton-Raphson power flow calculation for distribution grids | 针对配电网牛顿-拉夫逊潮流计算,提出数据驱动方法以提升效率。 | reinforcement learning penetration |
🔬 支柱八:物理动画 (Physics-based Animation) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 7 | Comprehensive Signal Modeling for Talkative Power Conversion | 为通信型功率转换提出全面的信号建模方法,提升分析与仿真精度 | PULSE |