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Research of Network Closed-loop Control System Based on the Model Predictive Control Cover

Research of Network Closed-loop Control System Based on the Model Predictive Control

International Journal of Advanced Network, Monitoring and Controls
Volume 4 (2019): Issue 4 (January 2019)
By: Xu Shuping,  Wang Shuang,  Guo yu and  Su Xiaohui  
Open Access
|Jan 2020

Figures & Tables

Figure 1.

Simulink Block Diagram of Mechanical Arm
Simulink Block Diagram of Mechanical Arm

Figure 2.

The Influence on the Stability of the Control System from Remote Control Delay
The Influence on the Stability of the Control System from Remote Control Delay

Figure 3.

Response after regulate PID parameters at 0.06 seconds time delay
Response after regulate PID parameters at 0.06 seconds time delay

Figure 4.

Neural Network Training Block Diagram of the Manipulator
Neural Network Training Block Diagram of the Manipulator

Figure 5.

Neural Network Model Training Results of Manipulator
Neural Network Model Training Results of Manipulator

Figure 6.

Simulink Simulation of Network Closed-Loop Control System based on Predictive Neural
Simulink Simulation of Network Closed-Loop Control System based on Predictive Neural

Figure 7.

Predictive Control Random Responses Curve based on Neural Network
Predictive Control Random Responses Curve based on Neural Network

Figure 8.

Responses under Random Delay
Responses under Random Delay
DOI: https://doi.org/10.21307/ijanmc-2019-068 | Journal eISSN: 2470-8038
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Language: English
Page range: 30 - 37
Published on: Jan 27, 2020
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Remote Control,
Neural Network,
Network Delay,
Model Predictive Control
Related subjects:
Computer sciences,
Computer sciences, other

© 2020 Xu Shuping, Wang Shuang, Guo yu, Su Xiaohui, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution 4.0 License.

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