| 1 |
Model Predictive Control-Guided Reinforcement Learning for Implicit Balancing |
提出MPC引导的强化学习方法,用于欧洲平衡市场中的电池隐式平衡控制。 |
MPC model predictive control reinforcement learning |
|
|
| 2 |
MPC strategies for density profile control with pellet fueling in nuclear fusion tokamaks under uncertainty |
针对核聚变托卡马克密度控制,提出不确定性下基于多级MPC的燃料丸控制策略 |
MPC |
|
|
| 3 |
A Predictive and Sampled-Data Barrier Method for Safe and Efficient Quadrotor Control |
提出基于预测和采样数据Barrier方法的四旋翼安全高效控制框架 |
MPC model predictive control |
|
|
| 4 |
Data-Driven Adaptive PID Control Based on Physics-Informed Neural Networks |
提出一种基于物理信息神经网络的数据驱动自适应PID控制方法 |
model predictive control predictive model |
|
|
| 5 |
Efficient Probabilistic Planning with Maximum-Coverage Distributionally Robust Backward Reachable Trees |
提出基于最大覆盖分布鲁棒后向可达树的高效概率规划算法,用于线性高斯系统运动规划 |
motion planning |
|
|
| 6 |
Optimization via a Control-Centric Framework |
提出控制中心框架以优化智能系统中的收敛性问题 |
model predictive control |
|
|