首页> 外文会议>Saint Petersburg International Conference on Integrated Navigation Systems; 20060529-31; Saint Petersburg(RU) >STOCHASTIC STATE ESTIMATION OF AN UNMANNED PLANT IN CRUISING MOVEMENT BY THE FULL-SCALE EXPERIMENTAL DATA
【24h】

STOCHASTIC STATE ESTIMATION OF AN UNMANNED PLANT IN CRUISING MOVEMENT BY THE FULL-SCALE EXPERIMENTAL DATA

机译:利用大规模实验数据随机估计无人植物在进行巡航运动时的状态估计

获取原文
获取原文并翻译 | 示例

摘要

A procedure of stochastic navigational information processing of multidimensional dynamic plants by theirs environmental tests data is suggested for the purpose of further control quality (accuracy) maximization of such plants. An example of offered procedure application is considered for movement parameters estimation of an unmanned moving plant by full-scale experiment results. As a consequence of stated problem solving the models of dynamics of vectors of the plant input and output signals are found as matrices of their spectral and cross-spectral densities, which can be used later for structural identification and synthesis of the plant control system.
机译:为了进一步控制此类植物的质量(准确性)最大化,建议了一种通过其动态环境试验数据对多维动态植物进行随机导航信息处理的过程。通过全面的实验结果,以提供的程序应用为例,对无人移动工厂的运动参数进行了估计。作为解决上述问题的结果,发现了工厂输入和输出信号的矢量动态模型作为它们的光谱密度和互谱密度的矩阵,这些模型以后可用于结构识别和工厂控制系统的综合。

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