摘要
针对移动机器人的路径规划计算问题,通过对其系统特性的分析,提出一种MFNN全局路径规划计算方法,并从理论上进行建模与推导。仿真结果表明:此方法计算简单,收敛速度快,能显著提高求解移动机器人全局最优化问题的计算效率,并避免了某些局部极值情况。
Directing the path-planning algorithm of mobile robot, through the analysis of its system characteristics , this paper presents a kind of MFNN （muhilayered feed-forward neural network）global path-planning algorithm of mobile robot, and founds model and infers it from the theory. The simulation results demonstrate which allows high speed of the calculation and fast convergence. Also, it can significantly improve the computational efficiency of solving mobile robot＇s global optimization problems, and some local minimum problems, can be avoided.
出处
《机械制造与自动化》
2007年第1期20-22,共3页
Machine Building & Automation
