Research ArticleAsynchronous update based networked predictive control system using a novel proactive compensation strategy

- Proposing the asynchronous update based networked predictive control system (AUBNPCS).
- Using a proactive compensation strategy to remove the predicted control input errors.
- Traditional control strategies can be adapted to the networked controller design.
- Deriving the stability criterion analytically based on the methods of model-based NCS.
- A simulation experiment based on Truetime is depicted to verify the effectiveness.

Networked predictive control system (NPCS) has been proposed to address random delays and data dropouts in networked control systems (NCSs). A remaining challenge of this approach is that the controller has uncertain information about the actual control inputs, which leads to the predicted control input errors. The main contribution of this paper is to develop an explicit mechanism running in the distributed network nodes asynchronously, which enables the controller node to keep informed of the states of the actuator node without a priori knowledge about the network. Based on this mechanism, a novel proactive compensation strategy is proposed to develop asynchronous update based networked predictive control system (AUBNPCS). The stability criterion of AUBNPCS is derived analytically. A simulation experiment based on Truetime demonstrates the effectiveness of the scheme.

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