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Robust predictive Control for Networked Control Systems with Access Constraints

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DOI: 10.23977/jeis.2022.070101 | Downloads: 27 | Views: 901

Author(s)

Pan Zhang 1

Affiliation(s)

1 College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China

Corresponding Author

Pan Zhang

ABSTRACT

Based on the rolling horizon optimization strategy, the networked robust predictive control with medium access constraints and packet loss is studied. Firstly, considering the influence of network factors such as medium access constraints and packet loss, Markov jump rule and Bernoulli independent and identically distributed process are used to transform the network problem into the robust problem of networked control system. According to the established Markov jump system model and stability analysis, a robust predictive controller for networked control systems is designed by using linear matrix inequality (LMI) method, which makes the system asymptotically stable. Finally, a numerical example is given to verify the effectiveness of the proposed control method.Networked control system; medium access constraints; packet loss; robust predictive controller.

KEYWORDS

Networked control system, medium access constraints, packet loss, robust predictive controller

CITE THIS PAPER

Pan Zhang, Robust predictive Control for Networked Control Systems with Access Constraints. Journal of Electronics and Information Science (2022) Vol. 7: 1-13. DOI: http://dx.doi.org/10.23977/jeis.2022.070101.

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