Identificacion de sistemas lineales (Spanish text)

In this work we are considering the identification problem related to a linear system. There are many linear systems for which experimentation results in complicated and costly tasks, but there are many other linear systems for which extensive experimentation is possible. This is because their cost is relatively low or because of potentially great benefit.; As in many inverse problems the main difficulty in system identification is that it is an ill-posed problem. That is there is no strict solution or the solutions are too sensitive to data modification or errors in the data. In this work we are proposing a method that is based on re-experimentation. It generates better and improved data in order to execute more efficient system identification. This method utilizes a regularization method (Tikhonov method) in an iterative fashion to generate better solutions.