2.845

2023影响因子

(CJCR)

  • 中文核心
  • EI
  • 中国科技核心
  • Scopus
  • CSCD
  • 英国科学文摘

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

Research on Dual Control

Duan Li Fucai Qian Peilin Fu

Duan Li, Fucai Qian, Peilin Fu. Research on Dual Control. 自动化学报, 2005, 31(1): 32-42.
引用本文: Duan Li, Fucai Qian, Peilin Fu. Research on Dual Control. 自动化学报, 2005, 31(1): 32-42.
Duan Li, Fucai Qian, Peilin Fu. Research on Dual Control. ACTA AUTOMATICA SINICA, 2005, 31(1): 32-42.
Citation: Duan Li, Fucai Qian, Peilin Fu. Research on Dual Control. ACTA AUTOMATICA SINICA, 2005, 31(1): 32-42.

Research on Dual Control

详细信息
    通讯作者:

    Duan Li

Research on Dual Control

More Information
    Corresponding author: Duan Li
  • 摘要: This paper summarizes recent progress by the authors in developing two solution frame-works for dual control. The first solution framework considers a class of dual control problems where there exists a parameter uncertainty in the observation equation of the LQG problem. An analytical active dual control law is derived by a variance minimization approach. The issue of how to determine an optimal degree of active learning is then addressed, thus achieving an optimality for this class of dual control problems. The second solution framework considers a general class of discrete-time LQG problems with unknown parameters in both state and observation equations. The best possible (partial) closed-loop feedback control law is derived by exploring the future nominal posterior probabilities, thus taking into account the effect of future learning when constructing the optimal nominal dual control.
  • 加载中
计量
  • 文章访问数:  3062
  • HTML全文浏览量:  61
  • PDF下载量:  1363
  • 被引次数: 0
出版历程
  • 收稿日期:  2003-11-29
  • 修回日期:  2004-10-27
  • 刊出日期:  2005-01-20

目录

    /

    返回文章
    返回