Closed-loop data-driven control of uncertain dynamic systems

A combined system-identification and control technique is proposed. The identified model is of the same order as that of the controller. The method works very well except when the measurements are corrupted by high amounts of noise. Some computer simulation results are presented, comparing the performance of the proposed technique with that of a neural networks-based controller.