A Takagi-Sugeno-Kang (TSK) Power Model Using Compressed-sensing Sampling<sup>*</sup>

郭喜峰; 王大志; 刘炜

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

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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^*
- 中国化学工程学报（英文版） 2012年20卷第6期页码：1161-1166
- Affiliations：
  
  School of Information Science & Engineering, Northeastern University,Shenyang,China,110819
- Author bio：
- Funds：
  
  Supported by the National Basic Research Program of China (2009CB320601);the Fundamental Research Funds for the Central Universities of China (N100408001)
- DOI：
  中图分类号：
- 纸质出版：2012
- Accepted：
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郭喜峰, 王大志, 刘炜. A Takagi-Sugeno-Kang (TSK) Power Model Using Compressed-sensing Sampling^*[J]. 中国化学工程学报（英文版）, 2012,20(6):1161-1166.

[J]. Chinese Journal of Chemical Engineering, 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]. 中国化学工程学报（英文版）, 2012,20(6):1161-1166. DOI：

[J]. Chinese Journal of Chemical Engineering, 2012, 20(6): 1161-1166. DOI：

摘要

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.

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