Fast predictive inverse neurocontrol: Comparative simulation and experiment

There has been proposed a new approach to a neurocontrol synthesis under conditions of uncertainty. It does not directly use an optimization procedure. In terms of a synthesis technique, the proposed solution is close to inverse neurocontrol, but regarding its functions, the system has properties of a fast predictive control. There have been presented the comparison of the proposed approach with classical and modern proportional-integral-derivative (PID) systems that were obtained based on a numerical simulation and an actual control of complex plants.