4.7 Article

Networked predictive control for linear systems with quantizers by an event-driven strategy

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jfranklin.2019.01.029

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Funding

  1. National Natural Science Foundation of China [6183000133, 61873030]
  2. Beijing Natural Science Foundation [4161001]
  3. Hebei Province Natural Science Foundation of China [E2016203462]

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In this paper, networked predictive control is investigated for a networked control system with quantizers by an event-driven strategy. An event generator is designed according to a deviation of state estimation between the current time and last trigger time. A predictive strategy is proposed to compensate effect of network-induced delays and packet dropouts. The quantizers are used to deal with signals by converting real-valued signals into effective ones in both feedback and forward channels. Based on a zoom strategy, sufficient conditions are given to ensure stabilization of the networked control system by solving linear matrix inequalities. A simulation example is proposed to exhibit advantages and availability of the developed techniques. (C) 2019 Published by Elsevier Ltd on behalf of The Franklin Institute.

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