Predictive PID networked controller based on modeling by least squares support vector machines

In order to use the proportional-integer derivative (PID) controller to networked control system with the stochastic time delay, the least squares support vector machines (LS-SVM) is proposed to model the complex industrial process. A predictive PID controller based LS-SVM is presented which is mathematically equivalent to generalized predictive control (GPC). A predictive algorithm and a control selector are introduced to the controller side and the plant side, respectively. Simulation results are presented to highlight the principles and effectiveness of this control scheme.