Sensor Network Design for Nonlinear Processes
李博;陈丙珍
【期刊名称】《清华大学学报（英文版）》 【年(卷),期】2003(008)006
【摘要】This paper presents a method to design a cost-optimal nonredundant sensor network to observe all variables in a general nonlinear process. A mixed integer linear programming model was used to minimize the cost with data classification to check the observability of all unmeasured variables. This work is a starting point for designing sensor networks for general nonlinear processes based on various criteria, such as reliability and accuracy. 【总页数】6页(738-743)
【关键词】sensor network design;nonlinear processes;data classification 【作者】李博;陈丙珍
【作者单位】Department of Chemical Engineering, Tsinghua University, Beijing 100084, China;Department of Chemical Engineering, Tsinghua University, Beijing 100084, China 【正文语种】中文 【中图分类】TP1 【相关文献】
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Sensor Network Design for Nonlinear Processes
