American college control system textbook. Upper level from state variable courses, which need a basic knowledge of linear system and matrices.

华南理工大学，最优控制模型的描述、建立、求解以及matlab实现，数据分析。最优化课程课件。

[Solutions Manual] Kirk D. Optimal Control Theory - An Introduction

Optimal Trajectory Generation for Dynamic Street Scenarios in a Frenet Frame，该文章讲了FRNEET框架下动态街道场景的最优轨迹生成的方法，用于表示车辆与地图的相对位置。百度Apollo开源项目中应用到了此种方法用于路径规划。

优化控制领域的经典教材，Frank W. Lewis 教授是该领域的大牛，也是自适应动态规划的提出者，想对优化控制有更好理解的值得下载。

Author: Brain D. O. Anderson and John B. Moore

最优控制领域经典，全面的介绍了该领域的主要成果，全书理论深刻、方法具体、实例丰富，特别有关于如何处理路径约束的知识，是相关领域的必备书。

Optimal Transport (OT) is a mathematical gem at the interface between probability, analysis and optimization. The goal of that theory is to define geometric tools that are useful to compare probability distributions. Let us briefly sketch some key ideas using a vocabulary that was first introduced by Monge two centuries ago: a probability distribution can be thought of as a pile of sand. Peaks indicate where likely observations are to appear. Given a pair of probability distributions—two different piles of sand— there are, in general, multiple ways to morph, transport or reshape the first pile so that it matches the second. To every such transport we associate an a “global” cost, using the “local” consideration of how much it costs to move a single grain of sand from one location to another. The goal of optimal transport is to find the least costly transport, and use it to derive an entire geometric toolbox for probability distributions.

强化学习与最优控制；MIT；作者：Dimitri P. Bertsekas DRAFT TEXTBOOK；December 14, 2018

经典 拓扑优化理论分析，对拓扑优化初学者十分适用，推导详尽。