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Artificial Intelligence Review

Erschienen in:

11.03.2020

Data-based composite control design with critic intelligence for a wastewater treatment platform

verfasst von: Ding Wang, Mingming Ha, Junfei Qiao, Jun Yan, Yingbo Xie

Erschienen in: Artificial Intelligence Review | Ausgabe 5/2020

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Abstract

In this paper, by integrating neural network approximators, a data-based composite control technique is developed with critic learning implementation and wastewater treatment verification. The iterative adaptive critic framework is established involving dual heuristic dynamic programming (DHP), so as to obtain an intelligent optimal controller. Besides, a steady control input is computed with the help of the neural identifier. Then, by combining the DHP controller and the steady control input, an effective composite control strategy is derived and applied to the proposed wastewater treatment platform. Through conducting experiments, it is observed that the dissolved oxygen concentration and the nitrate level can be maintained at setting points successfully, which results in an intelligent wastewater treatment system.

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Titel: Data-based composite control design with critic intelligence for a wastewater treatment platform
verfasst von: Ding Wang
Mingming Ha
Junfei Qiao
Jun Yan
Yingbo Xie
Publikationsdatum: 11.03.2020
Verlag: Springer Netherlands
Erschienen in: Artificial Intelligence Review / Ausgabe 5/2020
Print ISSN: 0269-2821
Elektronische ISSN: 1573-7462
DOI: https://doi.org/10.1007/s10462-019-09778-5

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