The invention relates to the technical field of
intelligent control technology and
edge computing application, in particular to an
actuator real-
time control method and
system based on
edge computing, and the method comprises the steps: carrying out the multi-mode state sensing and real-time preprocessing of an
actuator at an
edge node, mapping a high-dimensional feature to a low-dimensional evolution space through space-
time compression projection, and carrying out the multi-mode state sensing and real-time preprocessing of the
actuator; constructing a lightweight prediction model in combination with a linear skeleton and nonlinear residual reasoning, and dynamically generating a
confidence interval to quantify uncertainty; further introducing an evolution updating
mechanism based on a residual error, correcting a projection matrix, a dynamic operator and an inverse mapping matrix on line, and ensuring that the real states of the model and the actuator are consistent for a long time; and finally, based on the prediction result and the risk
perception capability, adaptively generating an
optimal control signal within the security constraint. According to the invention, high-precision, low-
delay and robust edge real-
time control is realized, and the robustness and adaptability of the
system under complex working conditions are improved.