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支柱一:机器人控制 (Robot Control) (4)

🔬 支柱一:机器人控制 (Robot Control) (4 篇)

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1 Koopman Based Trajectory Optimization with Mixed Boundaries 提出基于Koopman算子的轨迹优化方法,解决混合边界约束下的非凸优化问题 model predictive control trajectory optimization
2 Adaptive Model Predictive Control for Differential-Algebraic Systems towards a Higher Path Accuracy for Physically Coupled Robots 针对物理耦合机器人,提出自适应模型预测控制以提高路径精度 model predictive control
3 Robust Model Predictive Control for Constrained Uncertain Systems Based on Concentric Container and Varying Tube 提出基于同心容器和变动管道的鲁棒模型预测控制方法,用于约束不确定系统的稳定 model predictive control
4 Modularized Neural Network Incorporating Physical Priors for Smart Building Control, Accuracy or Consistency? 提出融合物理先验的模块化神经网络,用于智能建筑控制,平衡精度与一致性。 model predictive control

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