A.R. Van Cauwenberghe

TL;DR: Extended Prediction Self-Adaptive Control as mentioned in this paper is a control strategy in which the calculation of the controller's actions is based on an adaptive long-range prediction of the resulting process output.

TL;DR: A self-tuning multistep predictor that predicts the output of a stochastic process with unknown, possibly slowly time-varying parameters over a range of several sampling periods in the future is presented.

TL;DR: In this paper, a self-tuning predictor is used in a decision-making strategy used in an electrical servo for dead-time control in a heat transport process, where a predicted value of the process output is fed back, leading to a compensation of the time-delay.

TL;DR: A simple and faster suboptimal multistep predictor is compared to the optimal one so that the increase in prediction error due to the non-optimality can be computed in real-time from the self-tuner's parameter estimations and the suboptical algorithm can be adapted such that this increase does not exceed a prescribed value.

TL;DR: In this paper, a self-tuning multistep predictor is presented, which predicts the output of a stochastic process with unknown, possibly multiple-varying, parameters over a range of several sampling periods in the future.