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Author:

Wang, H. (Wang, H..) | Yang, C. (Yang, C..)

Indexed by:

EI Scopus

Abstract:

In wastewater treatment process (WWTP), which has nonlinear and dynamic characteristics, it is difficult to realize the tracking control of dissolved oxygen (DO). To solve this problem, the online double heuristic programming (DHP) controller based on leaky echo state network (LESN) is proposed, the controller is named as DHP-LESN for short. Firstly, three Leaky ESNs are used in DHP to produce the control strategy, the system state and the derivatives of evaluation function, respectively. Then, the online gradient algorithm is used to update the output weights of three LESNs. Finally, the performance of the proposed DHP-LESN controller is tested and evaluated on Benchmark Simulation Model 1 (BSM1). The simulation results show that the proposed DHP-LESN controller can achieve better control performance than PID controller. © 2022 IEEE.

Keyword:

Online learning Leaky echo state network Gradient descent Double heuristic programming

Author Community:

  • [ 1 ] [Wang H.]Faculty of Information Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing Laboratory for Intelligent Environmental Protection, Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Yang C.]Faculty of Information Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing Laboratory for Intelligent Environmental Protection, Beijing Institute of Artificial Intelligence, Beijing University of Technology, Beijing, 100124, China

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Year: 2022

Language: English

Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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