...
首页> 外文期刊>Engineering Applications of Artificial Intelligence >A honeybee social foraging algorithm for feedback control of smart lights
【24h】

A honeybee social foraging algorithm for feedback control of smart lights

机译:用于智能灯反馈控制的蜜蜂社交觅食算法

获取原文
获取原文并翻译 | 示例
           

摘要

In contrast to the wide array of research that uses swarm intelligence to solve optimization problems, a few approaches have recently been taken a feedback control perspective as we do here. To employ a feedback control approach, this paper shows that an algorithmic model of how honeybees forage can be used for control of smart lights. We show that only slight modifications to this model are needed to control multiple lights and to provide uniform illumination across the floor of an experimental testbed. The most challenging case is when there are no walls between lighting zones since then there are a significant inter-zone couplings, and the approach here performs especially well under these conditions. Performance of this method is compared with a variety of testbed conditions where we assume inter-zone coupling as overlapping sources. Experimental results supported by parametric statistical tests suggest that the method here is better when significant overlapping is addressed.
机译:与使用群体智能来解决优化问题的大量研究相反,最近有一些方法像我们在此处所采用的那样是一种反馈控制的观点。为了采用反馈控制方法,本文显示了如何将蜜蜂觅食用于智能灯控制的算法模型。我们显示,仅需对该模型进行少量修改即可控制多个灯光并在实验测试台的整个地板上提供均匀的照明。最具挑战性的情况是,照明区域之间没有墙壁,因为这时区域之间存在显着的耦合,并且此处的方法在这些条件下的效果特别好。将该方法的性能与各种测试台条件进行了比较,在这些测试台条件下,我们假设区域间耦合为重叠源。参数统计测试支持的实验结果表明,在解决明显的重叠时,此处的方法更好。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号