Data-based networked predictive control

This paper is concerned with the problem of data-driven predictive control for networked control systems (NCSs), which is designed from the subspace matrices, obtained directly from the input/output data transferred from networks. The networked predictive control consists of the control prediction generator and network delay compensator. The control prediction generator provides a set of future control predictions to make the closed-loop system achieve the desired control performance and the network delay compensator removes the effects of the network transmission delay. The effectiveness of the proposed method is demonstrated in simulation as well as experiment study.