遗传算法优化基于LQR的一级倒立摆稳摆控制-LQR-based genetic algorithm optimization of a steady pendulum inverted pendulum control

BP神经网络根据LQR控制固高一级倒立摆，稳定控制及起摆控制-BP neural network based on solid LQR control an inverted pendulum stability control and from the pendulum control

基于LQR最优控制算法的直线二级倒立摆稳定控制程序-LQR optimal control algorithm based on double inverted pendulum stability control program

利用强化学习的自适应动态规划中的值迭代和策略迭代方法，神经网络控制方法，LQR状态调节器最优控制方法，实现了三维倒立摆在飞行器上的稳定控制。鲁棒性很强，进行了高斯白噪声的扰动实验。-Reinforcement learning adaptive dynamic programming in value iteration and policy iteration method, neural network control method, LQR state regulator optimal