Abstract:

In connection with the realtime signal transmission of networked control system, least squares support vector machine theory was used to predict and compensate bad effects caused by transmission uncertainties so as to establish a model of networked control system. Experiments were carried out to validate the correctness and applicability of this method. The simulation results show that least squares support vector machine modeling can improve the dynamic performance and stability of networked control system, which makes up the periodic transmission of sampled signals taking up a lot of network bandwidths and unnecessary network traffic defects, and improve the system reliability.

Key words: networked control system (NCS), least squares support vector machine (LS-SVM), predictive compensation, modeling