...
首页> 外文期刊>Control Theory & Applications, IET >Leaderless cooperative control of robotic sensor networks for monitoring dynamic pollutant plumes
【24h】

Leaderless cooperative control of robotic sensor networks for monitoring dynamic pollutant plumes

机译:用于监测动态污染物羽流的机器人传感器网络的无引线协作控制

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper, the problem of cooperative control of robotic sensor networks (RSNs) for monitoring dynamic pollutant plumes in two-dimensional (2D) space is studied. The pollutant plume propagation dynamics is governed by a 2D advection-diffusion partial differential equation (PDE), and the plume front is modelled by a level set with a pre-specified threshold value. Distributed consensus Luenberger-type PDE observers are first constructed using local concentration measurements from the RSNs for unanimous estimate of the dynamic concentration field over the entire spatial domain. With the aid of the distributed consensus observers, a leaderless cooperative control scheme is then developed for the RSNs to monitor the dynamic plume front expansion. It is proved using the Lyapunov stability method and set stability concept that the proposed cooperative control scheme guarantees tracking of the dynamic plume front expansion and coverage of the plume front. Extensive numerical simulation results demonstrate the effectiveness and merit of the proposed cooperative control scheme.
机译:本文研究了在二维(2D)空间中监测动态污染物羽流的机器人传感器网络(RSN)的协同控制问题。污染物羽流的传播动力学受二维对流-扩散偏微分方程(PDE)的控制,羽流前沿由设置有预定阈值的水平建模。首先使用来自RSN的局部浓度测量值来构建分布式共识Luenberger型PDE观测器,以对整个空间域中的动态浓度场进行一致估计。然后,在分布式共识观察者的帮助下,为RSN开发了一种无领导者的协作控制方案,以监视动态羽流前端扩展。使用Lyapunov稳定性方法和集合稳定性概念证明,所提出的协同控制方案可确保跟踪动态羽流前沿扩展和羽流前沿的覆盖。大量的数值模拟结果证明了所提出的协调控制方案的有效性和优点。

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