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作者:

Qiao, Jun-Fei (Qiao, Jun-Fei.) (学者:乔俊飞) | Bo, Ying-Chun (Bo, Ying-Chun.) | Han, Guang (Han, Guang.)

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EI Scopus PKU CSCD

摘要:

In order to solve the problem of controlling dissolved oxygen (DO) concentration and nitrate concentration of waster-water treatment process (WWTP), a multi critic indices dual heuristic dynamic programming (MDHP) policy is proposed. The approximating precision can be improved through lowering the complexity between the relationship of the critic network's outputs and inputs in this scheme. Echo state networks (ESNs) are adopted to approximate the critic indices and the optimal control policy. Online learning method of the controller is investigated. Experimental results indicate that the MDHP scheme has some advantages over single critic index DHP (SDHP) and PID in control performance. Copyright © 2013 Acta Automatica Sinica. All rights reserved.

关键词:

Dissolved oxygen Dynamic programming Heuristic programming Learning systems Nitrogen removal Wastewater treatment Water treatment

作者机构:

  • [ 1 ] [Qiao, Jun-Fei]College of Electronic and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Bo, Ying-Chun]College of Electronic and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Bo, Ying-Chun]College of Information and Control Engineering, China University of Petroleum, Qingdao 266580, China
  • [ 4 ] [Han, Guang]College of Electronic and Control Engineering, Beijing University of Technology, Beijing 100124, China

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来源 :

Acta Automatica Sinica

ISSN: 0254-4156

年份: 2013

期: 7

卷: 39

页码: 1146-1151

被引次数:

WoS核心集被引频次:

SCOPUS被引频次: 14

ESI高被引论文在榜: 0 展开所有

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近30日浏览量: 1

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