eess.SY（2026-04-01）

📊 共 13 篇论文

🎯 兴趣领域导航

支柱一：机器人控制 (Robot Control) (9) 支柱四：生成式动作 (Generative Motion) (2) 支柱九：具身大模型 (Embodied Foundation Models) (1) 支柱二：RL算法与架构 (RL & Architecture) (1)

🔬 支柱一：机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗⭐
1 Bridging RL and MPC for mixed-integer optimal control with application to Formula 1 race strategies 提出混合强化学习与模型预测控制框架，解决混合整数最优控制问题，应用于F1赛车策略。 MPC model predictive control reinforcement learning
2 Polynomial Parametric Koopman Operators for Stochastic MPC 提出基于多项式参数化Koopman算子的随机模型预测控制方法 MPC model predictive control
3 Explicit MPC for Parameter Dependent Linear Systems 针对参数依赖线性系统，提出两种显式模型预测控制方法 MPC model predictive control
4 Robust IMMPC: An Offset-free MPC for Rejecting Unknown Disturbances 提出一种鲁棒的无偏移模型预测控制（IMMPC）方法，用于抑制未知扰动。 MPC model predictive control
5 Star-Tracker-Constrained Attitude MPC for CubeSats 提出星敏感器约束的姿态MPC控制框架，用于立方星快速调姿和目标跟踪 MPC model predictive control
6 DeePC vs. Koopman MPC for Pasteurization: A Comparative Study 对比DeePC与Koopman MPC在巴氏消毒过程控制中的性能差异 MPC model predictive control
7 Dynamic Weight Optimization for Double Linear Policy: A Stochastic Model Predictive Control Approach 提出基于随机模型预测控制的动态权重优化双线性策略框架 model predictive control
8 Tube-Based Safety for Anticipative Tracking in Multi-Agent Systems 针对多智能体系统，提出基于管道的安全框架以实现前瞻性跟踪 MPC model predictive control
9 Phase Relationship between Spinal Motion and Limb Support Determines High-speed Running Performance in a Cheetah Model with Asymmetric Spinal Stiffness 非对称脊柱刚度下，脊柱运动与肢体支撑的相位关系决定猎豹模型的高速奔跑性能 legged robot locomotion

🔬 支柱四：生成式动作 (Generative Motion) (2 篇)

#题目一句话要点标签🔗⭐
10 Analytical Probabilistic Power Flow Approximation Using Invertible Neural Networks 提出基于可逆神经网络的概率潮流分析方法，实现高精度、高效率的电力系统不确定性分析。 penetration
11 Demand response potential evaluation of a zero carbon hydrogen metallurgy system considering shaft furnace's flexibility 提出考虑竖炉灵活性的零碳氢冶金系统需求响应潜力评估框架，优化电力-钢铁协同。 penetration

🔬 支柱九：具身大模型 (Embodied Foundation Models) (1 篇)

#题目一句话要点标签🔗⭐
12 Competition and Cooperation of LLM Agents in Games 研究LLM智能体在博弈中的竞争与合作行为，揭示公平推理的重要性 large language model chain-of-thought

🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗⭐
13 Toward Efficient Deployment and Synchronization in Digital Twins-Empowered Networks 提出基于DRL的数字孪生部署与同步方法，优化MEC网络资源利用 reinforcement learning deep reinforcement learning DRL

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