摘要
本文讨论了如何设置红球和蓝球的数量和位置,发现圆柱区域内的黄球并进行定位的问题.我们考虑了一对红球蓝球发现黄球并定位的问题,在此基础上进行扩展,基本解决了黄球的发现并定位的问题.在静止黄球发现问题中,采用了正三角形扩展和正六边形扩展两种方法.在静止黄球的定位问题中,我们结合正三角形和正六边形运用了旋转法和添点法进行扩展.在运动黄球的定位问题中,讨论了体积概率模型和时间概率模型,给出了两种模型的概率求解公式.在系统协同定位模型中,我们给出了发现定位分步模型和周期系统跟踪模型,其中后者在仿真中实现了大于80%的定位性能,该系统可以简单扩展为多目标快速定位问题.此外,文章讨论了精确测量和颜色切换模型,快速定位问题,多目标定位等问题.
For the purpose of finding and locating the position of the yellow balls in the cylinder area, the proper number of the blue balls and red balls and how to arrange them are proposed. Under the basic work of how to find and locate the yellow hail with a couple of red ball and blue ball, we solve the problem. In the problem of finding static yellow balls, we apply Equilateral Triangle model and Equilateral Hexagon model. In the problem of locating static yellow balls, we use rotating method and adding method. While considering locating kinetic yellow balls, we propose the Volume Possibility model and Time Possibility model, and present the possibility formulas. In the cooperating location system, we develop the Substep Location Model and the Cycle track Model, the latter achieves upper 80% successfully locating possibility in our simulations. Cycle track Model can be expanded to solve the quick location of multi-goals. Meanwhile, Precise Measurement and Color Exchange Model as well as the problem of quick location and multi-goal location are discussed in our paper.
出处
《数学的实践与认识》
CSCD
北大核心
2005年第7期16-26,共11页
Mathematics in Practice and Theory
关键词
体积概率模型
时间概率模型
系统协同定位
发现定位分步模型
周期系统跟踪模型
finding and locating volume possibility model
time possibility model
cooperating location system
substep location model
cycle track model