A Prediction-Based Approach Realizing Finite-Time Convergence of Networked Control Systems

This paper presents a networked model predictive control (MPC) strategy for the finite-time convergence of networked control systems with two-channel random communication constraints. Network-induced delays and packet dropouts in the backward and forward channels are transformed into the equivalent...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems. II, Express briefs Express briefs, 2023-07, Vol.70 (7), p.1-1
Main Authors: Pang, Zhong-Hua, Xia, Cheng-Gang, Zhang, Ji, Han, Qing-Long, Liu, Guo-Ping
Format: Article
Language:English
Subjects:
Actuators
Control systems
Convergence
Delay effects
Delays
finite-time convergence
Linear programming
Mass-spring-damper systems
Mathematical models
model predictive control
Network control
network-induced delays
Networked control systems
networked predictive control
Optimal control
Predictive control
Upper bounds
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Summary:This paper presents a networked model predictive control (MPC) strategy for the finite-time convergence of networked control systems with two-channel random communication constraints. Network-induced delays and packet dropouts in the backward and forward channels are transformed into the equivalent delays in each channel, which are actively compensated in the controller and actuator, respectively. Future control inputs are obtained by a finite-time MPC strategy, and the upper bound of the convergence time is given by theoretical analysis. Finally, the proposed scheme is verified by the numerical simulation of a mass-spring-damper system.
ISSN:1549-7747
1558-3791
DOI:10.1109/TCSII.2023.3235462