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Networked predictive control of constrained linear systems with input quantisation

Author

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  • Yuanyuan Zou
  • Yugang Niu
  • Bei Chen
  • Tinggang Jia

Abstract

This article investigates the problem of stabilising predictive control for constrained systems, wherein communication from the controller to the plant input is through a digital channel subject to quantisation and delay. A novel model with structured norm-bounded uncertainties is proposed to describe control system with input quantisation. Under a multirate scheme, a delay compensation strategy is presented. The networked predictive control synthesis approach is developed by solving a finite receding horizon optimisation problem with free control moves. It is shown that the proposed predictive controller not only efficiently reduces the negative effects of the quantisation and communication delays but also guarantees the closed-loop stability and satisfies constraints. Finally, a simulation example illustrates the effectiveness of the derived method.

Suggested Citation

  • Yuanyuan Zou & Yugang Niu & Bei Chen & Tinggang Jia, 2013. "Networked predictive control of constrained linear systems with input quantisation," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(10), pages 1970-1982.
  • Handle: RePEc:taf:tsysxx:v:44:y:2013:i:10:p:1970-1982
    DOI: 10.1080/00207721.2012.683828
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    Cited by:

    1. Ran, Suzhen & Xue, Yanmei & Zheng, Bo-Chao & Wang, Zhenyou, 2017. "Quantized feedback fuzzy sliding mode control design via memory-based strategy," Applied Mathematics and Computation, Elsevier, vol. 298(C), pages 283-295.

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