• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国政府科技报告 >Parameter Estimation in Large Scale Systems Using the Maximum Posteriori Approach
【24h】

Parameter Estimation in Large Scale Systems Using the Maximum Posteriori Approach

机译：基于最大后验法的大系统参数估计

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The use of the maximum a posteriori (MAP) approach for parameter estimation in large scale interconnected dynamical systems is examined. Both the suboptimal approach of Sage, and the optimat approaches which arise on solving within a multi-level structure the resulting non-linear two point boundary value problem are examined. In particular, two optimal methods are considered: i.e., the costate prediction method and the state estimation approach of Chen and Perlis as applied to parameter estimation. The approaches ae used on a simple example which is used as a bench mark problem for purposes of comparison of the numerical efficiency of the various techniques.

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