eess.SY(2024-07-18)

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支柱一:机器人控制 (Robot Control) (3) 支柱二:RL算法与架构 (RL & Architecture) (1)

🔬 支柱一:机器人控制 (Robot Control) (3 篇)

#题目一句话要点标签🔗
1 Evaluating the Impact of Data Availability on Machine Learning-augmented MPC for a Building Energy Management System 评估数据可用性对机器学习增强MPC在建筑能源管理系统中的影响 MPC model predictive control
2 Neural Network Tire Force Modeling for Automated Drifting 提出基于神经网络的轮胎力模型,提升自动漂移车辆的路径跟踪精度 model predictive control latent dynamics
3 Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise 针对非线性随机系统,提出具有闭环保证和无界噪声的预测控制框架 model predictive control

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

#题目一句话要点标签🔗
4 Deep Reinforcement Learning for Multi-Objective Optimization: Enhancing Wind Turbine Energy Generation while Mitigating Noise Emissions 提出基于深度强化学习的风力涡轮机控制框架,优化能量生成并降低噪声排放。 reinforcement learning deep reinforcement learning

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