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Article | 01-December-2014

CENTRALIZED DISCRETE STATE SPACE MODEL PREDICTIVE CONTROL AND DECENTRALIZED PI-D CONTROLLER OF AN AEROTHERMIC PROCESS

The aerothermic process is a pilot scale heating and ventilation system equipped with a heater grid and a centrifugal blower. The interaction between its main variables is considered as challenging for mono-variable controllers. A change in the ventilator speed affects the temperature behavior which represents a factor that must be managed for energy saving and the human welfare. This paper presents an experimental comparison between a Centralized Discrete State Space Model Predictive Control

M. Ramzi, H. Youlal

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 4, 1830–1849

Article | 30-November-2018

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

-loop control. IV. BUILD THE MODEL PREDICTIVE CONTROL LAW According to the running state of the system over the past time and present moment, more accurate forecasting system desired output value in the future moment, calculated control value of the system should be added according to output value desired depending on certain optimization algorithm [15] is adaptive computer control of online solving control value [16], the method includes three steps: prediction model, rolling optimization and

Xu Shuping, Wang Shuang, Guo yu, Su Xiaohui

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

Article | 28-August-2018

A HIGH-PERFORMANCE COMPUTING (HPC) BASED INTEGRATED MULTITHREADED MODEL PREDICTIVE CONTROL (MPC) FOR WATER SUPPLY NETWORKS

Krzysztof GASKA, Agnieszka GENEROWICZ, Izabela ZIMOCH, Józef CIUŁA, Zsuzsanna IWANICKA

Architecture, Civil Engineering, Environment, Volume 10 , ISSUE 4, 141–151

Article | 08-April-2018

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

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

architecture of the network control system continues to change, the current method is largely concentrated in the condition of network delay is no more than one sampling period, and other cases have yet to be depth. Self-learning and adaptive capacity of neural network made the neural network model predictive control applications and research gaining increasing attention in the control system, and the prediction control based on neural network has strong robustness can adapt to the changing of system

Xu Shuping, Wu Jinfe, Su Xiaohui, Xiong Xiaodun

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

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