• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Ground/air multisensor interoperablity, integration, and networking for persistent ISR IV ; Open architecture/open business model net-centric systems and defense transformation 2013 >A Data Collection Decision-Making Framework for a Multi-Tier Collaboration of Heterogeneous Orbital, Aerial and Ground Craft
【24h】

A Data Collection Decision-Making Framework for a Multi-Tier Collaboration of Heterogeneous Orbital, Aerial and Ground Craft

机译：异构轨道，航空和地面飞行器多层次协作的数据收集决策框架

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

An algorithm for the autonomous identification of and tasking to collect additional data required to complete a goal is presented. This assertion-form goal is decomposed autonomously into an initial set of data collection tasks. Once these are completed, information gaps may exist or new information collection requirements may be identified. A utility-maximization, cost-minimization metric is applied to ascertain what data collection tasks craft should be assigned. This decision making process is performed at each level of the hierarchy, decomposing large-scale needs into progressively smaller assignments. The utility of this control approach is assessed for persistent surveillance and planetary science applications.
机译：提出了一种用于自主识别任务并收集完成目标所需的其他数据的算法。此断言形式的目标自动分解为一组初始的数据收集任务。完成这些步骤后，可能会存在信息缺口或可能会确定新的信息收集要求。应用效用最大化，成本最小化度量来确定应分配哪些数据收集任务。该决策过程在层次结构的每个级别上执行，将大规模需求分解为越来越小的分配。对于持续监测和行星科学应用，评估了这种控制方法的实用性。

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