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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.
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Acta Automatica Sinica
ISSN: 0254-4156
年份: 2013
期: 7
卷: 39
页码: 1146-1151
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