中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Intelligent Control Based on Case-based Reasoning for Outlet Tobacco Moisture Percentage of Loosening Resurgence Machine

文献类型:会议论文

作者Wang B(王斌); Wang Z(王卓); Yuan MZ(苑明哲)
出版日期2012
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
关键词tobacco loosening and resurgence process outlet tobacco moisture percentage (OTMP) case-based reasoning (CBR) intelligent control
页码1728-1732
中文摘要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.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012
会议录出版者IEEE Computer Society
会议录出版地Washington, DC, USA
语种英语
ISBN号978-1-4673-1871-6
WOS记录号WOS:000317972500301
源URL[http://ir.sia.cn/handle/173321/10160]  
专题沈阳自动化研究所_信息服务与智能控制技术研究室
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]. 见:2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012. Guangzhou, China. December 5-7, 2012.

入库方式: OAI收割

来源:沈阳自动化研究所

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