积分器
轨迹优化
混蛋
数学优化
计算机科学
机器人学
最优化问题
非线性系统
弹道
非线性规划
控制理论(社会学)
机器人
数学
人工智能
最优控制
加速度
物理
天文
经典力学
量子力学
计算机网络
控制(管理)
带宽(计算)
摘要
In this technical brief, we focus on solving trajectory optimization problems that have nonlinear system dynamics and that include high-order derivatives in the objective function. This type of problem comes up in robotics—for example, when computing minimum-snap reference trajectories for a quadrotor or computing minimum-jerk trajectories for a robot arm. DirCol5i is a transcription method that is specialized for solving this type of problem. It uses the fifth-order splines and analytic differentiation to compute higher-derivatives, rather than using a chain-integrator as would be required by traditional methods. We compare DirCol5i to traditional transcription methods. Although it is slower for some simple optimization problems, when solving problems with high-order derivatives DirCol5i is faster, more numerically robust, and does not require setting up a chain integrator.
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