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Author:

Zhao, Huiling (Zhao, Huiling.) | Wang, Ding (Wang, Ding.) | Zhao, Mingming (Zhao, Mingming.) | Ren, Jin (Ren, Jin.)

Indexed by:

EI Scopus

Abstract:

In order to implement the tracking control design towards concentrations of dissolved oxygen and nitrate nitrogen in wastewater treatment, a data-based iterative dual heuristic dynamic programming (DHP) method is established in this paper. First, the optimal tracking control problem is transformed into the optimal regulation problem. Then, the iterative adaptive dynamic programming strategy is introduced to solve the optimal control problem of the new system with the discount factor in the cost function, and the convergence analysis of the iterative algorithm is given. Furthermore, a new training approach is used to adjust the weights of the action and critic networks. Finally, the experimental simulation for a wastewater treatment plant is presented to verify the applicability of the proposed iterative DHP optimal tracking control method. © 2021 Technical Committee on Control Theory, Chinese Association of Automation.

Keyword:

Wastewater treatment Optimal control systems Cost functions Dynamic programming Neural networks Navigation Reclamation Adaptive control systems Heuristic methods Iterative methods Heuristic programming Dissolved oxygen

Author Community:

  • [ 1 ] [Zhao, Huiling]Beijing University of Technology, Faculty of Information Technology, Beijing; 100124, China
  • [ 2 ] [Zhao, Huiling]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Zhao, Huiling]Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Wang, Ding]Beijing University of Technology, Faculty of Information Technology, Beijing; 100124, 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; 100124, 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 ] [Ren, Jin]Beijing University of Technology, Faculty of Information Technology, Beijing; 100124, China
  • [ 11 ] [Ren, Jin]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing; 100124, China
  • [ 12 ] [Ren, Jin]Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing; 100124, China

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Source :

ISSN: 1934-1768

Year: 2021

Volume: 2021-July

Page: 2161-2166

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: 6

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