Journal of System Simulation
Abstract
Abstract: In order to realize control parameters online tuning and optimizing applications in the high risk and high pollution environment, vector time series prediction based intelligent control methods are proposed, which are combined autoregressive moving average vector time series predictive method and wavelet neural network method. Based on theoretical and comparative research: feasibility, stability, better dynamic characteristics, less steady-state error of the proposed methods are verified. A comparative simulation platform for the above intelligent control system is provided. Stability guarantee method of the above new methods is given.
Recommended Citation
Liu, Jingwei; Rui, Zhou; Hui, Zhao; Zhu, Minling; Meng, Xianghua; and Zhang, Yuhao
(2019)
"Simulation Research on Predictive Wavelet Neural Network Intelligent Control System,"
Journal of System Simulation: Vol. 30:
Iss.
10, Article 22.
DOI: 10.16182/j.issn1004731x.joss.201810022
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss10/22
First Page
3770
Revised Date
2016-07-30
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201810022
Last Page
3780
CLC
U621;TP273
Recommended Citation
Liu Jingwei, Zhou Rui, Zhao Hui, Zhu Minling, Meng Xianghua, Zhang Yuhao. Simulation Research on Predictive Wavelet Neural Network Intelligent Control System[J]. Journal of System Simulation, 2018, 30(10): 3770-3780.
DOI
10.16182/j.issn1004731x.joss.201810022
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