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Author:

Gao, Ning (Gao, Ning.) | Wang, Ding (Wang, Ding.) | Zhao, Mingming (Zhao, Mingming.) | Hu, Lingzhi (Hu, Lingzhi.)

Indexed by:

EI Scopus

Abstract:

In this paper, the generalized value iteration algorithm is utilized to design the tracking controller for the nonaffine wastewater treatment plant. First, the algorithm is initialized by a positive define function to guarantee that the cost function sequence is monotonically nonincreasing. Then, the updating rules of the cost function and the tracking control policy are given under the generalized value iteration framework. Moreover, the model network is constructed to solve the steady control and approximate the system state. The critic and action networks are introduced to approximate the iterative cost function and the iterative tracking control, respectively. Finally, the experimental simulation is provided to validate the feasibility of the present strategy. It is highlighted that the evolving policies during the iterative process are adopted to regulate the concentrations of dissolved oxygen and nitrate nitrogen. © 2021 IEEE.

Keyword:

Cost functions Dissolved oxygen Adaptive control systems Navigation Wastewater treatment Neural networks Reclamation Iterative methods

Author Community:

  • [ 1 ] [Gao, Ning]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 2 ] [Gao, Ning]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Gao, Ning]Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Wang, Ding]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 5 ] [Wang, Ding]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Wang, Ding]Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing; 100124, China
  • [ 7 ] [Zhao, Mingming]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 8 ] [Zhao, Mingming]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China
  • [ 9 ] [Zhao, Mingming]Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing; 100124, China
  • [ 10 ] [Hu, Lingzhi]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 11 ] [Hu, Lingzhi]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China
  • [ 12 ] [Hu, Lingzhi]Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing; 100124, China

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Source :

Year: 2021

Page: 113-117

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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