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Intelligent Control Based on Case-based Reasoning for Outlet Tobacco Moisture Percentage of Loosening Resurgence Machine
Wang B(王斌); Wang Z(王卓); Yuan MZ(苑明哲)
作者部门信息服务与智能控制技术研究室
会议名称2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012
会议日期December 5-7, 2012
会议地点Guangzhou, China
会议录名称2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012
出版者IEEE Computer Society
出版地Washington, DC, USA
2012
页码1728-1732
收录类别EI ; CPCI(ISTP)
EI收录号20131616212816
WOS记录号WOS:000317972500301
产权排序1
ISBN号978-1-4673-1871-6
关键词Tobacco Loosening And Resurgence Process Outlet Tobacco Moisture Percentage (Otmp) Case-based Reasoning (Cbr) Intelligent Control
摘要Tobacco loosening and resurgence process has strong nonlinearity and large delay-time ratio, and it is difficult to describe the process via accurate mathematical models. Thus, it is difficult to control the outlet tobacco moisture percentage (OTMP) for loosening and resurgence machine by operators. To solve these problems, combining the expert knowledge and operation experience, an intelligent control method based on case-based reasoning (CBR) is presented for loosening and resurgence machine. The intelligent control method is applied in certain cigarette plant which shows that the OTMP is controlled in the scope of target value and water consumption is reduced.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/10160
专题信息服务与智能控制技术研究室
作者单位1.Department of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Graduate School of Chinese Academy of Sciences, Beijing, China
推荐引用方式
GB/T 7714
Wang B,Wang Z,Yuan MZ. Intelligent Control Based on Case-based Reasoning for Outlet Tobacco Moisture Percentage of Loosening Resurgence Machine[C]. Washington, DC, USA:IEEE Computer Society,2012:1728-1732.
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