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  • In Jour Smart Sensing And Intelligent Systems
  • International Journal Advanced Network Monitoring Controls

 

Article | 30-November-2018

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

between expectations to make the appropriate control action to eliminate the bias in order to achieve the desired system performance. It has the ability to suppress interference, is not sensitive to changes in device characteristics, and can improve the response characteristics of the system. The delay phenomenon exist in the field of remote control is a common problem exists in the remote closed-loop control applications. Delay does not only exist in the before control channel of system and in

Xu Shuping, Wang Shuang, Guo yu, Su Xiaohui

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 4, 30–37

Article | 08-April-2018

The Research of Information Delay in the Neural Network Forecast Remote Control System

Aiming at the issues of random delay and delay uncertainty in both the before channel and feedback channel for network control system, the root causes of random delay influence closed-loop control system by case is analysis, and the predictive control method based on neural network to solve the feasibility of existence network random delay in control system closed-loop control has provided. Simulation results show that the method can reflect and predict the delay characteristics of between

Xu Shuping, Chen Yiwei, Cheng Xinhua, Su Xiaohui

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 1, 38–48

Article | 30-November-2020

Research of Forecasting Information Time Delays with Nenural Network in Telecontrol System

status and network latency links. This paper applied the neural network model predictive control to the network closed-loop system to reduce the impact of random delay to the system, and verified validity of the method by simulation, the method is an effective way to solve the network latency closed-loop control. II. NETWORK CONTROL RESEARCH BACKGROUND BASED ON INTERNET In order to study the impact of network latency on the remote closed-loop control system, set up remote motor control system

Xu Shuping, Wu Jinfe, Su Xiaohui, Xiong Xiaodun

International Journal of Advanced Network, Monitoring and Controls, Volume 6 , ISSUE 1, 1–10

Article | 07-May-2018

The Remote Control System Based on the Virtual Reality

Aiming at the issues of random delay and delay uncertainty of the control information network, a kind of network remote closed-loop control structure based on virtual reality simulation is proposed. The method in accordance with the idea of open-loop system to achieve closed-loop control make the influence of network latency excluded real-time little closed-loop control system of controlled object value and no effect on the characteristics of the controlled object. Simulation results show that

Su Xiaohui, Dong Qiyu, Huang Mengyao, Xu Shuping

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 2, 22–27

Article | 01-June-2015

INTELLIGENT NEURAL NETWORK CONTROL STRATEGY OF HYDRAULIC SYSTEM DRIVEN BY SERVO MOTOR

response and easy to realize closed loop control. System uses the structure of the combination of neural network control and RBF network online identification. The parameters of the controller are optimized by PSO algorithm offline and error back propagation (BP) algorithm offline, and a RBF network is built to identify the system online. The hydraulic power system’s control simulation experiments are conducted, and the experimental results at the typical working conditions of the hydraulic source show

Ma Yu

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1406–1423

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