  Nowadays, the rapid increases of the scale and complexity of the controlled
plants bring new challenges such as computing power and storage for
conventional control systems. Cloud computing is concerned as a powerful
solution to handle the complex large-scale control missions using sufficient
computing resources. However, the developed computing ability enables more
complex devices and mass data being involved and thus the applications of
model-based algorithms are constrained. Motivated by the above, we propose an
original data-driven predictive cloud control system. To achieve the proposed
system, a practical data-driven predictive cloud control platform rather than
only a numerical simulator is established and together a cloud-edge
communication scheme is developed. Finally, the verification of simulations and
experiments as well as discussions demonstrate the effectiveness of the
proposed system.
