...
首页> 外文期刊>IEEE Transactions on Automatic Control >Reduced-order models and controllers for continuous-time stochasticsystems: an information theory approach
【24h】

Reduced-order models and controllers for continuous-time stochasticsystems: an information theory approach

机译:连续时间随机系统的降阶模型和控制器:一种信息论方法

获取原文
获取原文并翻译 | 示例
           

摘要

Reduced-order models and controllers for continuous-time stochastic systems are described. The reduced-order models are chosen to minimize the Kullback-Leibler information distance (KLID) between the outputs of the actual and reduced systems. An LQG controller based on a reduced-order system model is described. A second reduced-order controller is found to minimize the KLID between the closed-loop system outputs with the full and reduced-order controllers
机译:描述了连续时间随机系统的降阶模型和控制器。选择降阶模型以最小化实际系统和简化系统的输出之间的Kullback-Leibler信息距离(KLID)。描述了基于降阶系统模型的LQG控制器。发现使用第二个降阶控制器可以最大程度地减少使用全阶和降阶控制器的闭环系统输出之间的KLID

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