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Journal of Systems Science and Complexity

, Volume 30, Issue 5, pp 1072–1083 | Cite as

Data-based predictive control for networked nonlinear systems with packet dropout and measurement noise

  • Zhonghua PangEmail author
  • Guoping Liu
  • Donghua Zhou
  • Dehui Sun
Article

Abstract

In this paper, the data-based control problem is investigated for a class of networked nonlinear systems with measurement noise as well as packet dropouts in the feedback and forward channels. The measurement noise and the number of consecutive packet dropouts in both channels are assumed to be random but bounded. A data-based networked predictive control method is proposed, in which a sequence of control increment predictions are calculated in the controller based on the measured output error, and based on the control increment predictions received by the actuator, a proper control action is obtained and applied to the plant according to the real-time number of consecutive packet dropouts at each sampling instant. Then the stability analysis is performed for the networked closedloop system. Finally, the effectiveness of the proposed method is illustrated by a numerical example.

Keywords

Data-based control measurement noise networked control systems (NCSs) packet dropout predictive control 

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Copyright information

© Institute of Systems Science, Academy of Mathematics and Systems Science, CAS and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Zhonghua Pang
    • 1
    Email author
  • Guoping Liu
    • 2
    • 3
  • Donghua Zhou
    • 4
    • 5
  • Dehui Sun
    • 1
  1. 1.Key Laboratory of Fieldbus Technology and Automation of BeijingNorth China University of TechnologyBeijingChina
  2. 2.School of EngineeringUniversity of South WalesPontypriddUK
  3. 3.CTGT CenterHarbin Institute of TechnologyHarbinChina
  4. 4.College of Electrical Engineering and AutomationShandong University of Science and TechnologyQingdaoChina
  5. 5.Department of AutomationTsinghua UniversityBeijingChina

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