摘要
机器人迭代学习在某些场合下有着重要的应用。传统的P型或PD迭代学习需要较长的迭代过程,本文提出了一种具有快速收敛的迭代学习策略。在给出的轮式移动机器人运动学模型基础上进行了仿真,结果证明了策略的有效性。
The Robot iterative learning in some places has an important application. Compared with the traditional types of P or PD iterative learning ,this paper proposes a kind of iterative learning strategies which have a rapid convergence, and then we have a simulation based on the robot kinematics model given. The results show the effectiveness of the strategy.
出处
《计算机系统应用》
2012年第4期59-63,共5页
Computer Systems & Applications
