A Takagi-Sugeno-Kang (TSK) Power Model Using Compressed-sensing Sampling*

Chin.J.Chem.Eng. ›› 2012, Vol. 20 ›› Issue (6): 1161-1166.

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A Takagi-Sugeno-Kang (TSK) Power Model Using Compressed-sensing Sampling^*

GUO Xifeng, WANG Dazhi, LIU Wei

School of Information Science & Engineering, Northeastern University, Shenyang 110819, China

Received:2012-04-26 Revised:2012-07-19 Online:2012-12-28 Published:2012-12-28
Supported by:
Supported by the National Basic Research Program of China (2009CB320601);the Fundamental Research Funds for the Central Universities of China (N100408001)

A Takagi-Sugeno-Kang (TSK) Power Model Using Compressed-sensing Sampling^*

郭喜峰, 王大志, 刘炜

School of Information Science & Engineering, Northeastern University, Shenyang 110819, China

通讯作者: LIU Wei,E-mail:liuwei.neu@foxmail.com
基金资助:
Supported by the National Basic Research Program of China (2009CB320601);the Fundamental Research Funds for the Central Universities of China (N100408001)

Abstract

Abstract: More and more information are needed in social life and commercial production,causing significant pressure on the sampling and too much time spent on signal sampling.Compressed sensing is one emerging hotspot in signal processing which employs a special sampling method to capture and represent compressible signals at a rate significantly below the Nyquist rate.In this paper,a Takagi-Sugeno-Kang (TSK) Model based on compressed-sensing sampling theorem is proposed for grinding power.It is further tested by using the actual production data,and the algorithm performance in grinding power model is also analyzed.The experiments show the validity and effectiveness of the proposed modeling method and its bright application foreground in other fields with similar features,such as power,metallurgy and so on.

Key words: beneficiation, grinding, Takagi-Sugeno-Kang, compressed sensing

摘要： More and more information are needed in social life and commercial production,causing significant pressure on the sampling and too much time spent on signal sampling.Compressed sensing is one emerging hotspot in signal processing which employs a special sampling method to capture and represent compressible signals at a rate significantly below the Nyquist rate.In this paper,a Takagi-Sugeno-Kang (TSK) Model based on compressed-sensing sampling theorem is proposed for grinding power.It is further tested by using the actual production data,and the algorithm performance in grinding power model is also analyzed.The experiments show the validity and effectiveness of the proposed modeling method and its bright application foreground in other fields with similar features,such as power,metallurgy and so on.

关键词: beneficiation, grinding, Takagi-Sugeno-Kang, compressed sensing

GUO Xifeng, WANG Dazhi, LIU Wei. A Takagi-Sugeno-Kang (TSK) Power Model Using Compressed-sensing Sampling^*[J]. Chin.J.Chem.Eng., 2012, 20(6): 1161-1166.

郭喜峰, 王大志, 刘炜. A Takagi-Sugeno-Kang (TSK) Power Model Using Compressed-sensing Sampling^*[J]. Chinese Journal of Chemical Engineering, 2012, 20(6): 1161-1166.

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A Takagi-Sugeno-Kang (TSK) Power Model Using Compressed-sensing Sampling^*

A Takagi-Sugeno-Kang (TSK) Power Model Using Compressed-sensing Sampling^*

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