Control strategy for networked control systems with time delay and packet dropout using linear matrix inequalities

A control strategy using linear matrix inequalities towards time delay and stochastic packet dropout of networked control system is proposed in this paper. First, a reconfigured target plant of networked control system is built based on a linear time-invariant target. Before discretization of target...

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Bibliographic Details
Published in:EURASIP journal on wireless communications and networking Vol. 2020; no. 1; pp. 1 - 11
Main Authors: Wang, Zhaohong, Fukushima, Seiji
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 14.02.2020
Springer Nature B.V
SpringerOpen
Subjects:
Aircraft models
Communications Engineering
Computer simulation
Control stability
Control systems
Cost function
Distributed Big Data Processing in SCADA Communication Networks
Engineering
Information Systems Applications (incl.Internet)
Linear matrix inequalities
Minimax technique
Model predictive control
Networked control system
Networks
Optimization
Packet dropout
Pade approximation
Prediction models
Predictive control
Robust control
Robustness (mathematics)
Signal,Image and Speech Processing
Stability analysis
Strategy
Time delay
Time lag
Networked control system
Model predictive control
Time delay
Packet dropout
ISSN:1687-1499, 1687-1472, 1687-1499
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Summary:A control strategy using linear matrix inequalities towards time delay and stochastic packet dropout of networked control system is proposed in this paper. First, a reconfigured target plant of networked control system is built based on a linear time-invariant target. Before discretization of target plant, a Pade approximation is employed towards the time delay segment of reconfigured target plant, while zero-order holder compensator and an estimator are employed for packet dropout of control input and measured output, respectively. Then the control target is reformed as a programming problem of an uncertain time-variant multi-parametric state space. In order to deal with such problem, herein the time-variant state space is rewritten as a linear parametric-varying prediction model by enumerating all possible occasions. Afterwards, a novel robust model predictive controller is proposed as a constrained minimax optimization of the predictive cost function. Finally, we present two simulations based on an aircraft model and a second-order numeric model, by which step responses and explicit solutions are derived, performed and analysed. Simulation results demonstrate both the stability and robustness of the proposed control strategy.
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ISSN:1687-1499
1687-1472
1687-1499
DOI:10.1186/s13638-019-1556-4