 Only the last step of the estimation strategy is used, then the process state is sampled again and the calculations are repeated starting from the time-shifted states, yielding a new state path and predicted parameters.The estimation horizon keeps being shifted forward and for this reason the technique is called moving horizon estimation.Although this approach is not optimal, in practice it has given very good results when compared with the Kalman filter and other estimation strategies.