eess.SY(2026-02-23)

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支柱一:机器人控制 (Robot Control) (2) 支柱二:RL算法与架构 (RL & Architecture) (2)

🔬 支柱一:机器人控制 (Robot Control) (2 篇)

#题目一句话要点标签🔗
1 A Stochastic Tube-Based MPC Framework with Hard Input Constraints 提出一种随机Tube-Based MPC框架,保证线性系统在有界输入下满足硬约束。 MPC model predictive control
2 Rendezvous and Docking of Mobile Ground Robots for Efficient Transportation Systems 提出中央MPC方法以解决移动地面机器人对接问题 MPC

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

#题目一句话要点标签🔗
3 Sizing of Battery Considering Renewable Energy Bidding Strategy with Reinforcement Learning 提出一种新算法以优化电池储能系统的尺寸与可再生能源竞标策略 reinforcement learning
4 A Reinforcement Learning-based Transmission Expansion Framework Considering Strategic Bidding in Electricity Markets 提出基于强化学习的输电扩展框架,协同优化输电投资与发电公司竞标策略 reinforcement learning

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