论文标题
通过机器学习赋予最佳控制权：模型预测控制的视角
Empowering Optimal Control with Machine Learning: A Perspective from Model Predictive Control
论文作者
论文摘要
长期以来，解决复杂的最佳控制问题已经面临计算挑战。机器学习的最新进展为我们提供了应对这些挑战的新机会。本文采用模型预测控制，这是一种流行的最佳控制方法，是调查最新进展的主要例子，该进步利用机器学习技术来增强最佳控制求解器的能力。我们还讨论了应用机器学习以开发更强大的最佳控制算法时遇到的一些主要挑战。
Solving complex optimal control problems have confronted computational challenges for a long time. Recent advances in machine learning have provided us with new opportunities to address these challenges. This paper takes model predictive control, a popular optimal control method, as the primary example to survey recent progress that leverages machine learning techniques to empower optimal control solvers. We also discuss some of the main challenges encountered when applying machine learning to develop more robust optimal control algorithms.
