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New Predictive Control Scheme for Networked Control Systems

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Abstract

This paper is concerned with the design of networked control systems with random network-induced delay and data dropout. It presents a new control scheme, which is termed networked predictive control with optimal estimation. Based on Multirate Kalman Filtering, the measured data which are out of sequence or delayed can be used to improve the precision of estimation. The control prediction generator provides a set of future control predictions to make the closed-loop system achieve the desired control performance and the compensator removes the effects of the network transmission with time delay and data dropout. Simulation results are presented to illustrate the effectiveness of the control strategy via comparing with control schemes without any compensation for the network.

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Authors and Affiliations

  1. Department of Automatic Control, Beijing Institute of Technology, Beijing, 100086, China

    Bo Liu & Yuanqing Xia

  2. Systems Engineering Department, King Fahd University of Petroleum and Minerals, PO Box 5067, Dhahran, 31261, Saudi Arabia

    Magdi S. Mahmoud

  3. College of Business and Public Administration, Old Dominion University, Norfolk, VA, 23529, USA

    Harris Wu

  4. Computer Science Department, Stanford University, Stanford, CA, 94305, USA

    Shisheng Cui

Authors
  1. Bo Liu
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  2. Yuanqing Xia
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  3. Magdi S. Mahmoud
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  4. Harris Wu
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  5. Shisheng Cui
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Corresponding author

Correspondence to Yuanqing Xia.

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Liu, B., Xia, Y., Mahmoud, M.S. et al. New Predictive Control Scheme for Networked Control Systems. Circuits Syst Signal Process 31, 945–960 (2012). https://doi.org/10.1007/s00034-011-9359-9

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  • DOI: https://doi.org/10.1007/s00034-011-9359-9

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