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A stochastic state prediction in AFM based nanomanipulation
Wang ZY(王智宇); Liu LQ(刘连庆); Wang ZD(王志东); Dong ZL(董再励); Yuan S(袁帅); Hou J(侯静)
作者部门机器人学研究室
会议名称2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012
会议日期August 5-8, 2012
会议地点Chengdu, China
会议主办者IEEE Robotics and Automation Society; Harbin Institute of Technology; Kagawa University
会议录名称2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012
出版者IEEE Computer Society
出版地Washington, DC, United States
2012
页码1335-1340
收录类别EI
EI收录号20124315597821
产权排序1
ISBN号978-1-4673-1277-6
关键词Micromanipulators Nanoparticles Nanotechnology Stochastic Systems
摘要The reliability of AFM based nanomanipulation is one of the prerequisites for nano fabricating, thus uncertainties of the target nano-particle position need to be controlled within a pointed limits, which lead to two problem to be solved: one is how to describe state uncertainties at every different sample times; the other is how to deduce the next state uncertainty according to the current one. This paper provides a method to construct a stochastic predictive model to covering those problems. In the concrete, the predictive model uses Gaussian and Beta distribution as well as Mont Carlo Method to describe and deduce the state uncertainties respectively. The method is also applied to the process of pushing a nano-particle using AFM. 
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/10102
专题机器人学研究室
通讯作者Wang ZY(王智宇)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, CAS, Shenyang, 110016, China
2.Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, 125105, China
3.Dept. of Advanced Robotics, Chiba Institute of Technology, Chiba, Japan
4.Graduate School, Chinese Academy of Sciences, Beijing, 100001, China
推荐引用方式
GB/T 7714
Wang ZY,Liu LQ,Wang ZD,et al. A stochastic state prediction in AFM based nanomanipulation[C]//IEEE Robotics and Automation Society; Harbin Institute of Technology; Kagawa University. Washington, DC, United States:IEEE Computer Society,2012:1335-1340.
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