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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.

First Page

3770

Revised Date

2016-07-30

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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