Improving the performance of networked control systems with time delay and data dropouts based on fuzzy model predictive control

2018 ◽  
Vol 355 (15) ◽  
pp. 7201-7225 ◽  
Author(s):  
Ahmad Sakr ◽  
Ahmad M. El-Nagar ◽  
Mohammad El-Bardini ◽  
Mohammed Sharaf
Keyword(s):  
Time Delay ◽  
Model Predictive Control ◽  
Control Systems ◽  
Predictive Control ◽  
Networked Control Systems ◽  
Fuzzy Model ◽  
Networked Control ◽  
Data Dropouts

scholarly journals A Model Predictive Control Approach for Stochastic Networked Control Systems

2010 ◽  
Vol 43 (19) ◽  
pp. 7-12 ◽  
Author(s):  
D. Bernardini ◽  
M.C.F. Donkers ◽  
A. Bemporad ◽  
W.P.M.H. Heemels
Keyword(s):  
Model Predictive Control ◽  
Control Systems ◽  
Predictive Control ◽  
Networked Control Systems ◽  
Networked Control ◽  
Control Approach

Research on Networked Control Systems Based on Adaptive Predictive Control

2013 ◽  
Vol 441 ◽  
pp. 833-836
Author(s):  
Zai Ping Chen ◽  
Xue Wang
Keyword(s):  
Time Delay ◽  
Control Systems ◽  
Predictive Control ◽  
Control Strategy ◽  
Networked Control Systems ◽  
Networked Control ◽  
Random Time ◽  
Recursive Least Squares ◽  
Model Parameters ◽  
Adaptive Predictive Control

According to the random time-delay exist in sensor-controller channel and controller-actuator channel in networked control systems, an adaptive predictive control strategy was proposed. In this control strategy, an improved generalized predictive control algorithm is adopted to compensate the networked random time-delay. In addition, using the recursive least squares with a variable forgetting factor algorithm to indentify the model parameters of controlled object on-line, through the way, it could adjust the systems with unknown parameters adaptively. Simulation results show that the adaptive predictive control proposed could solve random time-delay of networked control systems effectively.

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