首页 | 本学科首页   官方微博 | 高级检索  
     


Adaptive deadband control of a drifting process with unknown parameters
Affiliation:Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA 16802, USA
Abstract:Adjusting a drifting process to minimize the expected sum of quadratic off-target and fixed adjustment costs is considered under unknown process parameters. A Bayesian approach based on sequential Monte Carlo methods is presented. The benefits of the resulting “deadband” adjustment policy are studied.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号