RESUMEN EN INGLES

The development of the estimation observers of variables or
parameters in a biotechnological process is the main topic in the
present work. It talks about the development of a state observer
that considers in its design the uncertainty of the model in the
system, which are defined inside of the bidimensional polygon or
tridimensional polyhedral sides that limit the operation of this
system.
This development shows itself in two facets. The first one, is the
application of a concept to a Luenberger classic observer, which
has as its main characteristic that the gain matrix is determined
by following the procedure of linear matrix
inequality (LMI).
The second facet is about a hybrid observer that is made up by a
Luenberger observer developed like the previous one I have
mentioned, and also by a curved observer that helps the observer
transit freely among other observers by a parameter. Besides, it
will develop an extension of the hybrid observer to be applied to
a multifrequency scheme, defined by available linear measures and
measures out of the line and delayed.
These theories can be compared to a classic asymptotic observer
and an extended Kalman filter, showing results under the same
simulation conditions.