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长春光学精密机械与物... [2]
自动化研究所 [1]
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会议论文 [2]
学位论文 [1]
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A high-precision fuzzy control algorithm with self-regulating factor for thermo therapy of tumor (EI CONFERENCE)
会议论文
2007 IEEE International Conference on Control and Automation, ICCA, May 30, 2007 - June 1, 2007, Guangzhou, China
Bidou W.
;
Yueyan C.
;
Qingfeng M.
;
Hong J. C.
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浏览/下载:27/0
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提交时间:2013/03/25
In this paper
we present a new thermo therapy of tumor control algorithm
in which a self-regulation factor is adopted to realize real-time temperature control with high-precision fuzzy controller. This method can not only realize the real-time control with ignoring influence of impedance parameters
but also enhance the stability and dynamic characteristics of the control system
and the performance of the radio-frequency thermo therapeutic equipment is enhanced. We have demonstrated this strategy is feasible and effective based on the experiment researches of liver tumor thermo therapy 2007 IEEE.
Application of high-precision fuzzy control alorithm with self-regulation factor in RF hyperthermia system (EI CONFERENCE)
会议论文
6th International Conference on Machine Learning and Cybernetics, ICMLC 2007, August 19, 2007 - August 22, 2007, Hong Kong, China
Wang B.-D.
;
Chen Y.-Y.
;
Jiang C.-H.
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浏览/下载:32/0
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提交时间:2013/03/25
RF hyperthermia system is a kind of medical device to restrain and kill cancer tumor base on RF heating technique and biology heating effect theory. The mathematical model of the control system is very difficult to be formed due to the extreme complication physical process of temperature increase during the thermal treatment and the various structure and characteristic of internal tissues. In this paper
we present a new fuzzy control algorithm
in which a self-regulation factor is adopted to realize real-time temperature control with high-precision controller. By means of software arithmetic and hardware adjustment
accurate temperature and time control can be achieved in this system. 2007 IEEE.
城市交通信号控制研究
学位论文
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2005
作者:
高海军
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浏览/下载:35/0
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提交时间:2015/09/02
短时交通流预测
复合人工神经网络
模糊时间序列
单路口信号控制
协调控制
short-term traffic flow prediction
hybrid artificial neural network
fuzzy time series
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